Search results for "Core Logging"

Okta

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: The Senior Manager, Customer First Operations, EMEA will play a pivotal role in shaping and scaling our rapidly growing EMEA Customer First organisation. Sitting within our EMEA GTM Operations team, working closely with the Global CX Operations team, this role acts as the primary operational partner for the EMEA VP of Customer First and other senior CX leadership. You will be responsible for establishing and implementing operations rigour and standards for the CX team, spanning Customer Success and Technical Account Management (TAM), while working closely with adjacent teams including Renewals, Support, and Professional Services. In this role, you will design, refine, and continuously optimize our Management Systems, bridging the gap between corporate strategy and regional execution to maximise Net Revenue Retention (NRR). We are looking for an experienced, highly collaborative candidate with a growth mindset, exceptional analytical skills, and an appetite for constant improvement. You will be tasked with integrating the customer journey from sales through to customer success, ensuring that global and local standards are consistently adhered to and operating in support of our aggressive growth targets.  Job Duties and Responsibilities: * Be a trusted operational guardrail: Partner deeply with Global Operations to define and maintain strict consistency across processes, preventing regional drift or siloed operations while ensuring global standards support EMEA growth. * Establish and govern the Operating Rhythm: Maintain and govern the "operating rhythm" of the CX organisation. Ensure critical cadences (e.g. Get Well Plans, Account Reviews, Path to Green reviews, and Leader Cadences) run effectively with 100% execution and high data quality. * Drive Management System Optimisation: Act as the operational owner of the EMEA Customer First Management System. Working closely with the Global CX Operations team to translate strategy into predictable regional execution across three core pillars: KPIs, Standards, and Operating Cadences. * Enable Cross-Functional Handoffs: Actively drive Customer First execution by working with operations peers to improve critical intersections. Optimise the handoffs and alignment between Sales, Renewals, Support, Professional Services, and Customer Success. * Maintain Customer Lifecycle Visibility: Keep an uncompromised view of the broader customer lifecycle through every major phase: Purchase & Plan, Learn, Deploy & Adopt, Use & Grow, Renew & Expand, and Advocate. * Mitigate Risk via "Path to Green": Oversee the execution and accountability of regional "Get Well Plans", tracking Churn Dollars Saved against regional worst-case boundaries to proactively transition at-risk segments back to health. * Shift to Leading Metrics: Drive the regional shift from lagging performance indicators (Renewal & Expansion rates) to leading ones (Stakeholder Expansion, Outcome Attainment, Customer Health targets >80% Green, and Lead Pass generation). * Provide Operational Muscle for Scaling: Evaluate operational experiments (e.g. Key Account initiatives) to test new methodologies, optimise workflows, and scale the organisation efficiently. * Deliver Executive Read-outs: Prepare and lead comprehensive Monthly and Quarterly Business Reviews (MBR/QBR) for regional and global stakeholders, delivering a unified, metrics-driven narrative of EMEA performance. * Manage Documentation Lifecycle: Own the quality, freshness, and accuracy of the internal documentation repository, including playbooks, customer asset standards (SBRs, MBRs, QBRs), and operational frameworks. Capacity and Coverage Planning: Drive and support the resource planning process to ensure effective and efficient coverage of top priority accounts aligning with aligned coverage strategies and priorities Minimum REQUIRED Knowledge, Skills, and Abilities: * Demonstrated experience and success in GTM operations, customer success operations, or revenue operations, preferably within a SaaS and Enterprise business model. * Exceptional analytical and quantitative skills; good with numbers, highly logical in thinking, and capable of driving sound decision-making from complex data. * Deep understanding of the end-to-end customer journey, the enterprise software lifecycle, and business outcome attainment. * Strong proficiency in leveraging AI tools and applications to drive operational efficiency, pro * cess automation, and data analysis. * Outstanding collaboration and communication skills (both written and verbal), with a proven ability to partner with cross-functional teams, bridge gaps, and gain buy-in. * A strong growth mindset with an appetite for constant improvement, change management, and navigating high-growth, performance-focused environments. * Extreme attention to detail, specifically regarding data hygiene, governance, and operational rigour. * Deep experience with CRM and CS platforms (e.g. Salesforce.com, Gainsight) and data visualisation/reporting tools. * Proven track record of evaluating operational experiments and implementing successful learnings to optimise workflows. * True team player who is comfortable working with both global and local stakeholders to unify strategies. #LI-Onsite P25441 The Okta Experience * Supporting Your Well-Being  * Driving Social Impact  * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Shift

Who is Shift? At Shift, we’re business specialists dedicated to helping Australian SMEs take control of their cashflow, streamline trade terms and choose the right financial products. We believe Australian businesses are the driving force behind our economy and are core to our communities. That’s why our business expertise, focus on relationships, and market-leading technology is at the core of everything we do. We’ve helped solve the credit and payment pain points for more than 30,000 businesses, providing over $6 billion in aggregate funding. Our unique approach to product innovation combined with our collaborative culture means you can build your career in a supportive environment. You’ll be joining a diverse team of over 300 people who are always looking to deliver better outcomes for Australian businesses. About the role: As IT Support at Shift, you’ll be an essential part of our team, helping to keep our business and tech operations running smoothly. Reporting to our Cloud Systems Team Lead, you’ll bring your expertise in incident management, end user support, device management, and cloud services administration to strengthen Shift’s operations. You’ll tackle technology challenges with a positive attitude, a methodical approach, and a sense of urgency - all while working alongside a supportive team.   What you’ll do: * Dive into incident and change management processes - logging issues, tracking resolutions, and keeping everyone updated along the way * Provide friendly, comprehensive support to internal teams, ensuring workflows stay on track and users have a great experience * Manage user identities, permissions, and access in our cloud environments * Keep our local networks and office infrastructure running strong to meet the needs of our dynamic team * Carry out regular system maintenance, including patches, updates, and upgrades for our cloud-based tools and infrastructure * Make onboarding and offboarding a breeze, ensuring smooth transitions for our team members * Collaborate closely with our experts in Data, DevSecOps, and Security to reach project milestones and drive innovation * Help plan, execute, and support our infrastructure needs for daily operations, strategy weeks, and big on-site events * Make sure our cloud infrastructure always meets security best practices and compliance standards   What you’ll bring: * Hands on experience supporting a wide range of users, both technical and non-technical * Experience managing office tech infrastructure - think printers, networking, WiFi, and AV equipment * Expertise in managing mobile devices (Windows, MacOS, Android, iOS) using Microsoft Intune * Solid experience with Azure Entra is essential, and broader Azure familiarity is a bonus * Well-developed troubleshooting skills, especially with cloud SaaS tools and user devices * Excellent people skills for clear communication with everyone you work with * Confidence working independently and leading technical projects to the finish line * Skills across Azure, Office 365 Admin, Atlassian tools, PowerShell, Bash, Microsoft Intune MDM, and device deployment (Apple ADE / MS Autopilot) * A true team player who’s comfortable working on your own, pays close attention to detail and always keeps the user’s needs front and center Key benefits: * Collaborative teams – a flat structure means everyone can learn from colleagues and senior leaders around the business. * Be involved – come together with all of your colleagues every 100 days to share the product and technology roadmap and business strategy. * Flexible working environment – we’re headquartered in North Sydney with state-based workplaces and offer a flexible work policy. * Family support – industry leading 26 weeks paid parental leave. * Purpose built spaces within our office – designed for collaboration, brainstorming, socialising, and focused work. * Range of benefits supporting your physical, psychological and financial wellbeing. From a day off on your birthday to excellent end of trip facilities. #LI-Hybrid

Databricks

GAQ127R41 Location: San Francisco, CA (Hybrid) ABOUT THE ROLE At Databricks Information Technology, we are a product-led organization transforming the way we work, from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in the face of incredible growth. As a Senior Software Engineer (Infrastructure), you will be a core technical contributor on the IT Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a senior member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimized, secure, and highly available. THE IMPACT YOU WILL HAVE * Architect and Automate: Design and deploy production-grade infrastructure on AWS using Terraform or Pulumi. * Orchestration: Manage and scale containerized workloads using AKS (Azure Kubernetes Service) or EKS, focusing on cluster security and resource efficiency. * CI/CD Excellence: Architect robust deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements. * Drive "Observable by Default" Frameworks: Create underlying infrastructure to ensure new internal applications are secure and have logging and metrics enabled by default * Tooling, Scripting & AI : Build internal CLI tools,AI plugins and automation scripts to streamline developer workflows and enhance operational efficiency  * Partner Cross-Functionally: Collaborate with stakeholders across Security, Engineering, Infrastructure, and Support to deliver impactful projects with real business outcomes. * Mentor and Document: Participate in Code reviews, Document solutions and failure triage playbooks, and mentor junior engineers on the platforms you own. WHAT WE LOOK FOR * Software Engineering Expertise: 5+ years of production-level experience with a strong proficiency in Python (non-negotiable). * IaC: Expert-level proficiency in Terraform (modules, state management) or Pulumi(Preferred). * Cloud & Infrastructure Breadth: Hands-on experience with AWS (or Azure/GCP), Kubernetes, Docker and containerization concepts. * Automation & Integration Mindset: Experience building and troubleshooting integrations between infrastructure, data pipelines, and observability platforms. * CI/CD: Advanced knowledge of Github Actions, Github Runners. * Strong Observability Mindset: Understanding of observability pillars (logging, metrics, tracing) and hands-on experience with tools like Datadog, Prometheus, or ELK. * Distributed Systems: Proficiency in running systems through concepts like Kafka or messaging queues. * Independent Execution: Ability to operate with minimal guidance, take ownership of ambiguous projects, and follow a vision set by tech leads to execute independently.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $159,900—$219,900 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

RDQ227R1176 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. Mission Databricks is hiring an L6 Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes modern access patterns such as MCP, integration, and trust boundary security, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment and cross-functional partnership. Opportunity This role sits at the intersection of enterprise architecture, security engineering, and business enablement. The engineer will review new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early, set clear requirements, and support scalable adoption of secure patterns. This is a strong opportunity to help shape how Enterprise Security supports SaaS, internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity. Requirements:  * 8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field. * Experience conducting security design or architecture reviews for enterprise applications, SaaS platforms, integrations, or internally developed systems. * Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design * Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems. * Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP. * Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance. * Experience driving security outcomes through engineering judgment, influence, and scalable process improvement. * Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response. Outcomes * OUTCOME 1: Strengthen security practices across enterprise application and integration reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle. * OUTCOME 2:  Strengthen Enterprise Security’s capability to assess and guide AI-adjacent security, MCP and integration security, and cross-system data flow risk, while improving the consistency and scale of security reviews. * OUTCOME 3: Demonstrate the ability to build automation and agent capabilities that help secure systems from the start by allowing IT workflows, internal bots, and automation platforms to call Enterprise Security guidance directly for risk triage, control validation, and escalation decisions. This should reduce dependency on manual review and embed security guidance earlier in the system lifecycle.       Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $194,800—$267,850 USD Zone 2 Pay Range $175,400—$241,100 USD Zone 3 Pay Range $165,600—$227,700 USD Zone 4 Pay Range $155,800—$214,300 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.     We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.     Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.       Role Overview   As our Staff Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.   The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation.   This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.       What You Will Do * Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts * Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines * Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments * Drive design and implementation of scalable ML based ranking system and online ML inference services * Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs * Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies Basic Qualifications * Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields * 5 years of professional experience in applied machine learning * Experience in machine learning, deep learning, and statistical modeling * Proficiency in Python and/or Java, with experience in building production grade ML systems Preferred Qualifications * Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning) * Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) * Experience with ML frameworks such as Tensorflow and Pytorch * Experience with deploying highly robust and scalable data pipelines processing petabytes of data * Experience in managing mission critical services with high throughput and low latency * Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP) * Strong verbal and written communication skills * Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users * Experience with machine learning platform for search & discovery related rankings is a strong plus Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits * Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings Account (HSA) * Long-term/Short-term Disability * Employee Assistance Program (EAP) program * 401K Plan with Company Match * 18-21 days of the Paid Time Off (PTO) a year based on the tenure * 12 Public Holidays * Paid Parental leave * Pre-tax commuter benefits * MTV - [Free] Electric Car Charging Station General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.   Recruitment Process and Others   Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com. Job Requisition ID: R0075534

Coupang

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.     We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.   Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.       Role Overview   As our Senior Staff Software Engineer, ML infra Engineer for Search & Discovery organization, you will be in charge of designing and implementing durable & efficient software solutions that handle massive volume of structured and unstructured data needed to train complex ML models and efficiently serve them online.   The Search & Discovery organization is responsible for optimizing customers' navigation experience and driving long-term growth. Every week millions of customers use search in our app or on coupang.com, more than one third of them make purchases. Over half of the Coupang sales are directly attributed to search and recommendation. Many business initiatives and growth strategies are driven or boosted by ranking and recommendation.   This role is an opportunity to build scalable offline and online ML platforms to support ranking and recommendation, and business decision making. You will be handling billions of records of user interaction data, and petabytes of raw log files, and transforming them into data objects that can be easily consumed by engineers and scientists. You will also be responsible for serving complex ML models in real time to help millions of Coupang customers search and discover products. If you are passionate about big data engineering and scalable serving systems, you want to make real business impact, and you are a true problem solver, this is the right job for you.       What You Will Do * Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts * Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines * Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments * Drive design and implementation of scalable ML based ranking system and online ML inference services * Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs * Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies   Basic Qualifications * Bachelor's degree in computer science, electrical engineering, mathematics, statistics or  closely related fields * 8 years of professional experience in applied machine learning * Experience in machine learning, deep learning, and statistical modeling * Proficiency in Python and/or Java, with experience in building production grade ML  systems   Preferred Qualifications * Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning) * Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.) * Experience with ML frameworks such as Tensorflow and Pytorch * Experience with deploying highly robust and scalable data pipelines processing petabytes of data * Experience in managing mission critical services with high throughput and low latency * Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP) * Strong verbal and written communication skills * Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users * Experience with machine learning platform for search & discovery related rankings is a strong plus   Pay & Benefits Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. General Description of All Benefits * Medical/Dental/Vision/Life, AD&D insurance * Flexible Spending Accounts (FSA) & Health Savings Account (HSA) * Long-term/Short-term Disability * Employee Assistance Program (EAP) program * 401K Plan with Company Match * 18-21 days of the Paid Time Off (PTO) a year based on the tenure * 12 Public Holidays * Paid Parental leave * Pre-tax commuter benefits * MTV - [Free] Electric Car Charging Station   General Description of Other Compensation "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.    Recruitment Process and Others   Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage   Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.   Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers. If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.   Job Requisition ID: R0069890

Gitlab

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Overview of the role We're looking for a seasoned Threat Intelligence Engineer to join us as a dedicated Senior Security Engineer, TI. You'll be joining a program established a couple of years ago, with a solid foundation already in place: reporting templates, tooling, feeds, and industry connections built out by the Security Operations team over that time. Your mission will be to provide actionable intelligence that empowers GitLab to make informed, proactive decisions about security. We want to get in front of threats before they materialize - using intelligence to see around corners and anticipate the next attack.  We'll rely on your strong hands-on technical skills to monitor our unique threat landscape, focusing on credible threats to GitLab and the software supply chain. You'll leverage your Python expertise as a force multiplier, expanding our capabilities through automation and AI and maintaining our Threat Intelligence Platform. Additionally, you'll build meaningful relationships with industry peers, sharing intelligence and contributing to the industry as a whole.  As the sole dedicated member of this team, you'll help us refine our processes and iterate towards a more mature threat intelligence program. We've laid the groundwork with reporting templates, metrics for success, tooling, feeds, and industry connections. Now we need you to put this framework into action - uncovering real-world attacks, making attributions, and building a thriving intel-sharing community.  You'll be supported by Security Operations engineers who dedicate a portion of their time to threat intelligence. We'll encourage you to collaborate across security, infrastructure, and product teams to help keep our customers, platform, and organization secure.  If you're excited about shaping the future of threat intelligence at GitLab, we want to hear from you!  WHAT YOU’LL DO * Monitor the threat landscape, identifying and analyzing the risks most relevant to GitLab and raising awareness through ad-hoc Flash Reports. * Administer our Threat Intelligence Platform and continue building out our open source, proprietary and internal intelligence collection pipeline.  * Support incident response through malware analysis and threat actor tracking helping us stay one step ahead of our top threats.  * Collaborate on Purple Team Flash Operations, where emerging threats are turned into collaborative exercises to validate and improve our defensive capabilities. * Build meaningful relationships with industry peers, sharing intelligence and collaborating on emerging threats.  * Write code, leverage AI, and build automation to improve process efficiencies on the team. WHAT YOU’LL BRING * Proven track record of delivering actionable intelligence that has had a meaningful impact on the security of an organization.  * Experience working with a Threat Intelligence Platform (TIP) and managing ingested and exported threat feeds.  * Experience researching adversaries using OSINT and structured analytical techniques.  * Ability to automate tasks by writing basic scripts/programs, preferably with Python.  * Excellent and professional communication skills (written and verbal) with an ability to articulate complex topics in a clear and concise manner.  * Optional but valuable: experience reverse engineering malware, particularly macOS and Linux malware and malware delivered via code repositories.  * Optional but valuable: public examples of blogs or open-source work related to threat intelligence.  ABOUT THE TEAM This role will be the sole dedicated member of a team within the Security Operations department. You will report to a Security Manager based out of Australia, who also runs our SIRT APAC Team. Security Operations includes SIRT, Trust & Safety, Signal Engineering, Red Team, and Security Logging. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $140,000—$200,000 USD HOW GITLAB SUPPORTS FULL-TIME EMPLOYEES * Benefits to support your health, finances, and well-being * Flexible Paid Time Off  * Team Member Resource Groups * Equity Compensation & Employee Stock Purchase Plan * Growth and Development Fund * Parental Leave  Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. ---------------------------------------------------------------------------------------------------------------------------------- Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.   Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Sofi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: We are looking for an experienced Senior Staff Software Engineer to join our Builder Tools engineering organization with a mission to enable SoFi engineers to elegantly solve problems. In this role, you will have the opportunity to directly impact, influence and lead the direction and architecture of our next gen AI-powered SDLC, and elevate developer experience through AI enabled workflows, tooling and practices. You will get the chance to lead, define, and take on complex and interesting problems as part of a fast-paced, highly collaborative organization. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery.  What You’ll Do: * Technical leadership - Provide thought leadership for technical architecture and design, implementation, delivery and operations of AI enabled tools, agents, and workflows across the SDLC including plan, code, test, build, deploy, observe and remediate. * Innovate - Collaborate with cross-functional teams to drive innovation in developer tooling, and advancements including AI assisted developer productivity flows. * Exemplary Practitioner  - Be a subject matter expert for one or more developer tooling domains,  including operational excellence.  * Mentor - Collaborate with engineers in the team, provide mentorship, and domain expertise to enhance the overall technical capabilities of the team.. * Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks. * Collaborate –Build strong working relationships with coworkers and cross-organizational teams. * Influence - Influence and scale the adoption of AI powered SDLC tooling, workflows and best practices across the engineering organization. What You’ll Need: * Experience - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. * 8+ years software development experience. * Experience developing in a cloud environment (ex: AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies, service meshes (e.g., Istio, Envoy), CI/CD and automated testing. * Expertise -  2+ years of experience in AI tools (e.g., Claude Code, Agent SDK, Prompts, Skills, Cursor), infrastructure (e.g., MCP, AWS Bedrock, RAGs, vector dbs) and agent frameworks (e.g. Langchain, Langgraph, CrewAI) * Design - Strong understanding of software design principles, and distributed systems architecture. * Problem solving - Strong problem solving and programming fundamentals (algorithms, data structures). * Coding Skills - Proven coding skills (e.g., Java, Kotlin, Python) delivering large scale systems with infrastructure automation (e.g., Terraform). * Project Ownership - Ability to own, manage and deliver projects from scoping through launch. Experience working with Agile development processes.  * Strong Interpersonal skills - Excellent written and verbal communication skills. Demonstrated ability to collaborate well with technical and non-technical members, and proven skills to operate effectively in a cross-functional team.  Preferred Qualifications: * Experience with security, compliance, and risk management in cloud environments. * Experience with monitoring and logging (e.g. Datadog, Elastic, Splunk). * Experience with container orchestration (e.g., Docker, Kubernetes) and networking  Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SOFI PROVIDES EQUAL EMPLOYMENT OPPORTUNITIES (EEO) TO ALL EMPLOYEES AND APPLICANTS FOR EMPLOYMENT WITHOUT REGARD TO RACE, COLOR, RELIGION (INCLUDING RELIGIOUS DRESS AND GROOMING PRACTICES), SEX (INCLUDING PREGNANCY, CHILDBIRTH AND RELATED MEDICAL CONDITIONS, BREASTFEEDING, AND CONDITIONS RELATED TO BREASTFEEDING), GENDER, GENDER IDENTITY, GENDER EXPRESSION, NATIONAL ORIGIN, ANCESTRY, AGE (40 OR OVER), PHYSICAL OR MEDICAL DISABILITY, MEDICAL CONDITION, MARITAL STATUS, REGISTERED DOMESTIC PARTNER STATUS, SEXUAL ORIENTATION, GENETIC INFORMATION, MILITARY AND/OR VETERAN STATUS, OR ANY OTHER BASIS PROHIBITED BY APPLICABLE STATE OR FEDERAL LAW. THE COMPANY HIRES THE BEST QUALIFIED CANDIDATE FOR THE JOB, WITHOUT REGARD TO PROTECTED CHARACTERISTICS. PURSUANT TO THE SAN FRANCISCO FAIR CHANCE ORDINANCE, WE WILL CONSIDER FOR EMPLOYMENT QUALIFIED APPLICANTS WITH ARREST AND CONVICTION RECORDS. NEW YORK APPLICANTS: NOTICE OF EMPLOYEE RIGHTS SOFI IS COMMITTED TO AN INCLUSIVE CULTURE. AS PART OF THIS COMMITMENT, SOFI OFFERS REASONABLE ACCOMMODATIONS TO CANDIDATES WITH PHYSICAL OR MENTAL DISABILITIES. IF YOU NEED ACCOMMODATIONS TO PARTICIPATE IN THE JOB APPLICATION OR INTERVIEW PROCESS, PLEASE LET YOUR RECRUITER KNOW OR EMAIL ACCOMMODATIONS@SOFI.COM. DUE TO INSURANCE COVERAGE ISSUES, WE ARE UNABLE TO ACCOMMODATE REMOTE WORK FROM HAWAII OR ALASKA AT THIS TIME. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Zscaler

About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for a Staff Platform Engineer — OpenStack & Storage Infrastructure to join our team. This is a Hybrid role based in Bangalore (3 days in office), reporting to the Senior Manager, Software Development Engineering in the Zero Trust Exchange department. As a Staff Platform Engineer, you’ll lead the architecture and build-out of our OpenStack-based private cloud and storage infrastructure for data center environments. You’ll define the foundation our products and teams run on — owning reliability, scalability, and security at every layer from compute to block and object storage. What you’ll do (Role Expectations) * Own OpenStack architecture and lifecycle across data center environments — design, deploy, and operate Nova, Neutron, Cinder, Swift, and Glance at scale with a focus on high availability and operational resilience * Lead storage infrastructure design — architect and deliver enterprise-grade block, object, and file storage solutions using Ceph, and integrate them seamlessly within OpenStack and bare-metal environments * Build and automate DC platform capabilities using Terraform, Ansible, and GitOps workflows while defining standards for networking (SDN/OVN), RBAC, multi-tenancy, quotas, and resource isolation * Drive observability and capacity planning — instrument the full stack with Prometheus, Grafana, and centralized logging to manage SLOs, track storage utilization, and optimize cost at data center scale * Champion platform security and operational excellence by enforcing hardening across tiers, managing access controls, troubleshooting complex production issues, and mentoring engineers to continuously evolve the platform Who You Are (Success Profile) * You thrive in ambiguity. You’re comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact. * You are customer-obsessed. You build deep empathy for the customer — both internal and external — and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success. * You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team. What We’re Looking for (Minimum Qualifications) * Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving * 5+ years in platform/infrastructure engineering with 5+ years operating OpenStack in production at multi-rack, multi-DC scale * Deep hands-on expertise in OpenStack core services — Nova, Neutron, Cinder, Swift, Glance, Keystone — including upgrade strategies, HA configurations, and operational troubleshooting * Strong storage engineering background — production experience with Ceph (RBD, RGW, CephFS), performance tuning, failure recovery, and capacity management * Proficiency in Python and Bash/Go for automation, tooling, and OpenStack operator customizations * Expertise in DC networking (OVN/OVS, SDN, BGP, and VLAN/VXLAN fabric design) and proven leadership of complex infrastructure initiatives with rigorous IaC/GitOps practices What Will Make You Stand Out (Preferred Qualifications) * Experience designing and operating sovereign or regulated DC environments with strict compliance and isolation requirements, or hybrid cloud architectures bridging private and public cloud environments * Familiarity with bare-metal provisioning (Ironic) and converged infrastructure management * Contributions to OpenStack or Ceph open source projects, or published technical talks and papers #LI-RM6 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Databricks

FEQ127R316 As an Infrastructure & Platform Specialist Solutions Architect (SSA), you will guide customers in the administration and security of their Databricks deployments. You will be in a customer-facing role, working with and supporting Solution Architects. This role requires hands-on production experience with Google Cloud Platform (GCP). SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more. This role can be remote.  THE IMPACT YOU WILL HAVE: * Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment. * Architect production-level deployments, including meeting necessary security and networking requirements. * Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management. * Assist Solution Architects with more advanced aspects of the technical sales process, including custom proof-of-concept content and custom architectures. * Provide tutorials and training to improve community adoption (including hackathons and conference presentations). * Contribute to the Databricks Community. WHAT WE LOOK FOR: * 5+ years of experience in a technical role with deep expertise in GCP platform architecture, including cloud security, networking best practices, and designing data platforms on cloud infrastructure. * Deep specialized expertise in at least one of the following core domains: * Security & Identity: Platform, network, data, and GenAI/model security, encryption, vulnerability management, compliance, and identity management (Provisioning, SCIM, OAuth, SAML, Federation). * Networking & Deployments: Architecture design, implementation, performance optimization, and managing complex, enterprise-scale cloud deployments. * Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management. * Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve. * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience. * 2+ years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed architectures. * Hands-on experience with Python, Java, or Scala, and proficiency in SQL. * 2+ years of experience in a pre-sales or post-sales technical role. * Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire. * Willingness to travel up to 30% as needed.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1640 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As a Sr. Backend Software Engineer for Customer Experience Intelligence (CXI), you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. THE IMPACT YOU WILL HAVE * Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. * Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company. * Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems. * Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution. * Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions. * Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps. * Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. * Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams. WHAT WE LOOK FOR * BS or higher degree in Computer Science or a related engineering field. * Extensive backend development experience designing, building, and maintaining high-throughput production systems. * Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments. * Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic. * Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation. * Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $164,200—$225,700 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Mongodb

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our Dublin office, or work fully remotely in Ireland. RESPONSIBILITIES: * Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP * Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour * Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) * Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code * Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership * Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services QUALIFICATIONS: You might be a great fit if you match some of the following: * 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work * Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes * A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems * Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management * Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks * Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon) * A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness * Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 426183

Mongodb

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure. The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards. This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours. RESPONSIBILITIES: * Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP * Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour * Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.) * Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code * Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership * Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services QUALIFICATIONS: You might be a great fit if you match some of the following: * 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work * Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes * A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems * Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management * Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks * Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon) * A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness * Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 2263171228 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $127,000—$249,000 USD

Mongodb

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. ABOUT THE ROLE We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns. You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data. The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI. KEY RESPONSIBILITIES * Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security * Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks * Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms * Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs alongside MCP-based interfaces and AI-driven services, including robust authentication and authorization (OAuth2, JWT), versioning, lifecycle management, and integration with API management platforms such as Apigee or similar * Translate ambiguous, cross-functional business requirements into well-structured technical designs, evaluating multiple solution approaches and recommending the best fit for scalability, extensibility, and long-term maintainability. * Provide technical leadership and mentorship to other integration engineers—coaching on Workato concepts (callable recipes, event streams, task optimization), API design, and integration patterns, and performing design and code reviews * Partner closely with GTM, Finance, Data, and Security teams to align integration designs with data governance, compliance, and audit requirements, including CI/CD practices and environment strategies for Workato and associated services * Establish and enforce non-functional requirements (NFRs) for integrations (performance, resiliency, observability, security), and ensure they are met through design, testing, and monitoring * Troubleshoot and resolve complex issues spanning multiple systems and environments by performing deep root-cause analysis and driving long-term corrective actions in partnership with system owners * Conduct POCs to validate technology or pattern choices (e.g., new Workato features, API capabilities, event streaming approaches) and guide the team on when and how to adopt them * Participate in and help mature the on-call and support rotation for integrations, ensuring robust incident response, escalation, and communication practices * Champion and role model MongoDB’s culture principles—Think Big, Make it Happen, Build Together, and Be Intellectually Honest—while driving high standards for technical excellence and operational rigor within GTMTech. QUALIFICATIONS * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 10+ years of enterprise integration experience, including significant time in lead/architect roles * At least 5 years of hands-on experience designing and delivering complex, enterprise-grade integration solutions using Workato, with deep understanding of the platform beyond low-code/no-code capabilities (e.g., advanced recipes, callable recipes, event streams, Workato SDK, task optimization, governance) * Strong experience operating Workato in production at scale, including environment strategy, deployment automation, observability and monitoring, logging, and robust debugging in multi-system landscapes * Solid understanding of event-driven architectures and messaging technologies such as Kafka or equivalents, including topics, producers/consumers, message durability, failure handling, and retry strategies * Proficient with Workato connectors (including but not limited to Salesforce, NetSuite, HRIS, and Google Workspace), coupled with strong scripting skills (e.g., Python or Ruby) for advanced transformations and custom logic when required * Demonstrated experience defining and enforcing integration standards, patterns, and NFRs across teams, including performance, scalability, security, and operability benchmarks * Excellent analysis and system design capabilities, with a focus on system interactions, data flows, scalability, performance, and mapping complex business requirements into elegant, maintainable technical solutions * Strong troubleshooting skills across diverse technologies and environments, with the ability to quickly isolate issues and drive cross-functional teams toward resolution * Ability to mentor and upskill teammates, lead design and architecture reviews, and influence stakeholders through clear communication and well-reasoned recommendations * Comfortable working in a fast-paced, highly collaborative, and hybrid environment, and open to occasional travel as needed for key workshops or stakeholder engagements. SUCCESS MEASURES In 3 months, you will have: * Gained a deep understanding of the GTMTech integration landscape, including key Workato recipes, APIs, and event streams across Quote-to-Cash and adjacent domains * Ownership of at least one critical integration domain, stabilizing existing integrations and addressing high-priority issues or technical debt. In 6 months, you will have: * Designed and delivered high-quality, scalable integration solutions (recipes/flows and APIs) for key GTMTech initiatives, with measurable improvements in reliability, performance, and observability * Established or refined integration standards and NFR guidelines (including SLAs/SLOs, error-handling patterns, and monitoring dashboards) and gained adoption across the GTMTech integration team * Led design reviews and architecture discussions for new integration initiatives, ensuring alignment with event-driven and API-first strategies and influencing technology choices where appropriate. In 12 months and beyond, you will have: * Become the go-to integration and API architecture leader for GTMTech, recognized for your ability to decompose complex business problems into scalable integration designs and to guide teams toward high-quality implementations * Demonstrated a track record of proactively identifying integration risks, performance bottlenecks, and architectural gaps, and leading cross-functional efforts to address them with durable solutions * Played a central role in elevating the overall maturity of GTMTech integrations—improving uptime, reducing incidents, shortening time-to-recovery, and increasing development velocity through better tooling, patterns, and governance * Championed MongoDB’s culture principles within GTMTech, mentoring engineers, shaping interview and hiring standards for integration roles, and contributing to a high-performing, inclusive team culture ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.  To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Requisition ID 1273405376

Databricks

P-1652 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As the Staff Technical Lead (TL) for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. THE IMPACT YOU WILL HAVE: * Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. * Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company. * Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems. * Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution. * Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions. * Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps. * Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. * Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams. WHAT WE LOOK FOR: * BS or higher degree in Computer Science or a related field. * Technical leadership experience in large projects similar to those described, including automation tooling, distributed systems, and API’s * Extensive full stack development experience * Proven success designing and deploying production-grade automation in complex technical environments * Hands-on experience with ML-assisted systems, decision support, or agentic automation * Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems * Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $190,000—$261,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

P-1691 At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from advancing the future of transportation to accelerating medical breakthroughs. We do this by building and operating the world’s best data and AI infrastructure platform so our customers can turn deep data insights into business impact. Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard technical challenges — from designing next-generation UI/UX for working with data, to scaling our services and infrastructure across millions of virtual machines. And we’re only getting started. As the Staff Software Engineer for Customer Experience Intelligence, you will architect and deliver Databricks' AI-native vertical workflow platform. CXI is building intelligent systems that orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows. Support is our first production domain and the platform is designed to expand across multiple domains such as IT, Security, Legal, Marketing, and other knowledge-worker workflows, with a roadmap toward broader productization. THE IMPACT YOU WILL HAVE: * Architect the Agentic Ecosystem: Contribute to the technical vision, core infrastructure, and backend architecture for Databricks’ next-generation Enterprise Agentic Framework. * Scale across multiple domains: Build a vertical modular, multi-tenant agent platform initially optimized for Customer Support, but natively designed to expand into other domains such as IT, Security, Compliance, Marketing, HR, Legal and all ticket based workflows across the company. * Engineered Reliability: Drive rapid, iterative backend development while upholding strict quality, safety, throughput, and reliability standards for agentic-based systems. * Orchestrate Complex Workflows: Design state-machine and agentic workflows that seamlessly evolve from human-in-the-loop validation to fully automated execution. * Enterprise-Grade Observability: Implement robust backend tracing, logging, transparency, and safe execution including instant rollback mechanisms for critical AI-driven business decisions. * Cross-Functional Leadership: Act as a technical liaison between CXI, Product, Platform Engineering, and business stakeholders across various organizations to unblock dependencies and align roadmaps. * Raise the Bar: Set a high engineering bar for backend code quality, system performance, and architectural maintainability in line with Databricks standards. * Mentor and Cultivate: Mentor engineers and subject matter experts (SMEs) across Software, Support, and internal operations teams. WHAT WE LOOK FOR: * BS or higher degree in Computer Science or a related field. * Extensive backend development experience designing, building, and maintaining high-throughput production systems. * Proven success deploying enterprise-grade backend infrastructure, microservices, and robust APIs in highly complex environments. * Deep familiarity with distributed systems, data platforms, and handling large-scale internal or external traffic. * Hands-on experience with ML-assisted backend systems, LLM orchestration frameworks, state machines, or agentic automation. * Strong understanding of multi-cloud environments (AWS, Azure, GCP) alongside enterprise compliance, data privacy, and security constraints.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Local Pay Range $164,200—$225,700 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.