Search results for "Production Troubleshooting"

Databricks

GAQ127R40  Team: IT Infrastructure and Operations ABOUT THE ROLE At Databricks Information Technology, we are a product-led organization transforming how we work—from the ease of using our IT services to the applications we develop to scale seamlessly during rapid growth. As a Site Reliability Engineer (SRE), you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms. This role requires a strong software engineering mindset and deep technical breadth to deliver high-quality, scalable solutions for "immature" system problems. Your focus will be on building resilient, automated infrastructure that empowers development teams and ensures our cloud environment is cost-optimized, secure, and highly available. THE IMPACT YOU WILL HAVE * Architect and Automate: Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi. * Reliability and Performance Engineering:Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services. * CI/CD Excellence: Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements. * Observable by Default: Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default. * Agentic ToolingI: Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency. * Incident Response: Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages.Facilitate blameless post-mortems to identify root causes and implement permanent preventive engineering solutions. * Partner Cross-Functionally: Collaborate with Security, Engineering, and Support teams to deliver real business outcomes. WHAT WE LOOK FOR * Software Engineering Expertise: 5+ years of production-level experience with strong proficiency in Python (non-negotiable). * Infrastructure as Code (IaC): Expert-level proficiency in Terraform (modules, state management) or Pulumi. * Cloud & Containers: Hands-on experience with AWS, Azure, or GCP, along with Kubernetes, Docker, and containerization concepts. * Observability Mindset: Deep understanding of observability pillars (logging, metrics, tracing) and experience with tools such as Datadog, Prometheus, or ELK. * Distributed Systems: Proficiency in running systems using concepts like Kafka or messaging queues. * CI/CD Proficiency: Advanced knowledge of GitHub Actions and GitHub Runners. * Independent Execution: Ability to take ownership of ambiguous projects, follow a vision set by tech leads, and execute independently with minimal guidance. 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.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. You Have: * Experience:  * You have 5+ years of experience delivering projects that include complex user workflows.  * Domain Knowledge: You have Android and C++ expertise * You are highly skilled at performance tuning, and debugging and fixing production problems. * Domain Knowledge: You have some  iOS, and Windows experience. You love to pick up new technologies as the landscape evolves. * Versatility: You can adapt to any situation when the need arises and come up with the right solution. * A keen interest in developing audio expertise and knowledge, professional audio experience is not required. * Creativity: You take a creative and strategic approach to solving hard problems. Bringing real-time interactivity to build an immersive 3D world should get you thinking about many problems to solve… and make you excited as a result. * Professionalism: You take pride in delivering a high quality product and user experience. * Skills: * C++ programming * Experience designing refining and tuning algorithms * Troubleshooting bugs and performance issues * Background: You have a BS in a STEM related field or equivalent experience. * Bonus: Console programming experience (PlayStation, Xbox, etc.) * Bonus: Systems-level Bluetooth experience * Bonus: Experience working on a product that’s used at a massive scale (millions of DAUs) * Bonus: Server experience or experience designing/interacting with server APIs * Bonus: Experience with neighboring domains like Computer Graphics or Physics You Will: * Develop new functionality, pipelines, and workflows, and enhance existing ones. * Help implement our next generation real time immersive audio simulation platform. * Adapt performance for the best quality on all platforms from low end phones to high end desktops. * Take a practical approach to apply research efforts into the Roblox products. * Collaborate with different teams to deliver innovative new features. * Be guided by the company vision to put the Roblox community first. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $242,100—$293,800 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Every day, tens of millions of people from around the world come to Roblox to play, learn, work, and socialize in immersive digital experiences created by the community. Our vision is to build a platform that enables shared experiences among billions of users. This is what’s known as the metaverse: a persistent space where anyone can do just about anything they can imagine, from anywhere in the world and on any device. Join us and you’ll usher in a new category of human interaction while solving exceptional challenges that you won’t find anywhere else. As a Principal Network Engineer, you will work cross-functionally to plan the growth of Roblox’s global production network to support rapid user growth. In this role, you are responsible for Engineering and Architecture of Roblox Backbone and Edge Network. You will ensure that we are making the right investments with our global expansion to provide a great experience for all our users worldwide. We run services and a hosting platform with some unique complexities, so this role is an opportunity for the experienced network engineer to take on new challenges in addition to applying their existing expertise. You Will: * Serve as a Principle Engineer for Roblox's Backbone Network. * Drive future design, deployment, and operations for Roblox’s large-scale Network Infrastructure. * Engage in design, qualification, and validation of new technologies, and ensure new technologies are deployable at scale and are safely operable. * Collaborate with the Network Tooling Team to automate workflows and improve telemetry, observability, and alerting. * Work with net tools to automate existing workflows and improve our telemetry and alerting framework. * Participate in on-call rotation to support the global network infrastructure 24x7. You Have: * 8+ years of work experience responsible for designing, deploying and operating large-scale networks. * 5+ years of work experience designing and managing large scale Backbone and Edge Networks * Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE,). * Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6. * Experience working in a multi-vendor environment with hands-on experience with networking hardware. * Experience in at least one programming language like Python, Go, C/C++ is a plus. * A track record of successful collaboration with multidisciplinary teams. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $295,250—$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions. As a Senior Software Engineer in our Data Infra org, you will design, build, and scale the distributed data infrastructure platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role combines high ambiguity and ownership to push the boundaries of what our infrastructure can handle at massive scale, giving you the unique opportunity to steer the evolution of the data landscape. YOU WILL: * Own and Scale Core Platform Components: Take responsibility for the design, architecture, and implementation of 1–2 key data platform frameworks within our stack * Collaborate and Align: Partner with infra, data science, and product engineering teams to ensure your target platform's capabilities are directly guided by platform governance and product requirements. * Optimize Performance at Scale: Dive deep into engine internals, query planning, state management, memory optimization, serialization efficiency to maximize throughput and reliability under heavy load. * Drive Infrastructure Robustness: Lead the design, testing, and operational lifecycle of next-generation infrastructure features running on Kubernetes across cloud environments. * Agentic Interface: Embed AI/ML capabilities within our data platforms, leveraging LLMs for data discovery and generation, building autonomous, self-serve mechanisms for platform interaction layer. YOU HAVE: * 5+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems. * Data Platform Depth: Deep technical experience building or strong familiarity with at least 1 or 2 foundational technologies within our stack: Kafka, Flink, Spark, Trino, Druid, Airflow, or Data Catalog/Metadata systems. * Strong Engineering Foundations: Robust proficiency in Java, Go, or Scala, with a track record of writing clean, highly performant backend code. * Cloud Fluency: Experience operating and troubleshooting data infrastructure at scale on top of Kubernetes in AWS or GCP. * Technical Leadership: Demonstrated ability to influence technical direction across teams, mentor engineers, and drive alignment on complex cross-cutting initiatives. * B.S. equivalent in CS or sufficient experience. NICE TO HAVE: * Contributions to open-source projects in the data infrastructure ecosystem. * Experience operating infrastructure at consumer-internet scale (100M+ users). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $243,290—$295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions for a platform serving 200M+ daily active users. As a Principal Software Engineer in our Data Infra org, you will be the primary technical leader driving the strategic vision, long-term architecture, and massive scalability of our distributed data platforms that power Roblox. You will own and drive the next-generation architecture of our core platforms, which span Kafka, Flink, Spark, Trino, Druid, Airflow and Data Catalog. This role operates under high ambiguity, demanding unparalleled ownership to redefine the limits of infrastructure handling exabyte-scale workloads, and providing a unique opportunity to lead the future evolution of our global data ecosystem. YOU WILL: * Define Multi-Year Technical Strategy: Own and drive the end-to-end architectural vision for Roblox's core data platforms spanning Kafka, Flink, Spark, Trino, Druid, Airflow, and Data Catalog systems. Turn multi-year company strategies into concrete, production-grade infrastructure blueprints. * Lead Cross-Functional Alignment: Partner closely with executive leadership, platform governance, data science, and product engineering teams across Roblox to align technical roadmaps with business-critical metrics. Act as a trusted technical advisor, ensuring centralized infrastructure meets strict platform requirements. * Optimize Performance Engine Internals: Deep-dive into distributed engine internals, complex query planning, state management, serialization efficiency, and advanced memory optimization techniques to maximize throughput and cost-efficiency under peak compute loads. * Pioneer Autonomous Agentic Interfaces: Spearhead the integration of advanced AI/ML capabilities and large language models (LLMs) within our core data platform to deliver self-serve data discovery, automated metadata generation, and intelligent autonomous interaction layers. * Cultivate Engineering Excellence: Set the baseline for code quality, architectural standards, and system robustness across the organization. Mentor staff, senior, and mid-level engineers, fostering a culture of technical rigor, deep-dive post-incident analyses, and proactive chaos engineering validation. YOU HAVE: * B.S. equivalent in CS or sufficient experience. * 8+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems. * Data Platform Depth: Expert-level mastery and a deep history of building with foundational data technologies within our tech stack: Kafka, Flink, Spark, Trino, Druid, Hive, Airflow, or advanced Data Catalog / Metadata systems. * Infrastructure Core Builder: A proven track record of architecting, writing, and deploying core data platform code and distributed systems from the ground up. We are looking for someone who builds the engine rather than someone who just maintains or configures existing setups. You have driven major structural overhauls and 1-to-N platform evolutions at hyper-scale (100M+ active users). * Strong Engineering Foundations: Robust proficiency in Java, Go, or Scala, with a track record of writing clean, highly performant backend code. * Cloud Fluency: Proven expertise managing, scaling, and troubleshooting complex stateful and stateless multi-cluster data infrastructure running on top of Kubernetes within AWS or GCP. * Cross-Organizational Technical Leadership: A proven track record of influencing technical direction across a large engineering organization, leading consensus on complex architectural initiatives, and championing successful multi-quarter projects. * Extreme Ownership: A history of radical accountability. You do not wait for clean specifications in high-ambiguity environments; you actively define the technical requirements, unblock dependencies, rally engineers across pods, and steer complex projects from initial whiteboard sketch all the way to production stability. NICE TO HAVE: * Contributions to open-source projects in the data infrastructure ecosystem. * Experience operating infrastructure at consumer-internet scale (100M+ users). For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $295,250—$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. With Roblox’s daily active users growing at a record pace, we are seeking a senior data infrastructure engineer to join our new Data Insights team. Our team owns the data tooling that empowers Roblox builders to independently make informed and timely data-driven decisions.  As an engineer on the team, you’ll work on the platforms behind tools like Superset, Hex, and Python notebooks, which provide critical insights into the health of our business to users at every level of the company. We tackle diverse challenges in data engineering, infrastructure, and analytics, to deliver the insights our customers need. You will collaborate closely with engineers across our data ecosystem to shape the future of product analytics at Roblox. This role offers the chance to be a founding team member and help define both the technical direction and the long-term shape of the product area from the ground up. This role is a great fit for you if you are proficient in designing and scale robust data infrastructure and applications and have a zeal for developing inspiring, easily maintainable, and reusable code. Join our team and make a significant impact at Roblox. YOU WILL: * Architect and deliver a high-performance analytics environment that serves thousands of queries daily * Design and scale robust data infrastructure for powering data retrieval and visualization * Ensure data systems are reliable, observable, privacy-compliant, and performant * Bridge the gap between data engineering, analytics, and infrastructure to deliver a suite of best-in class, fully featured, and easy to use data tools. * Build intelligent agentic automation to simplify and accelerate analytical workflows * Contribute to internal platforms and tools that abstract complexity, improve developer productivity, and accelerate innovation * Be a tech lead and mentor junior engineers * Self-organize and take ownership of projects throughout their full lifecycle YOU HAVE: * 4+ years of work experience building production-grade, scalable, and reliable data systems * AWS infra understanding (VPC, endpoints, private link, Terraform, Amazon EKS) * Infra networking (k8s ingress, load balancers, and VPC networking) * Data infra understanding (Trino/Spark system configuration) * Strong SQL and distributed engine knowledge * Python and notebook data stack (e.g. pandas, ibis) * Excellent cross-functional collaboration skills; enjoy building systems that enable and accelerate team productivity * B.S. equivalent in CS or sufficient experience. Nice to Have:  * Okta experience * On call experience and technical troubleshooting * White glove customer support * Surface level React or experience with agents/skills to handle front end or both * Identity & Access Management (IAM) * Proven experience handling Python and TypeScript manipulations for supporting Apache Superset    For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $196,750—$243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Cloudflare

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.  At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. AVAILABLE LOCATIONS * Austin, US ABOUT THE ROLE Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. As a Models Engineer at Cloudflare, you will be the technical heartbeat of our AI community, bridging the gap between cutting-edge models and the developers building on our platform. You'll work directly with model creators and research teams to bring new models to Cloudflare, while simultaneously educating and inspiring our global developer base. We're looking for someone who can navigate a technical partnership call in the morning and debug a developer's issue on Discord in the afternoon. RESPONSIBILITIES * Model Partnerships & Integration: Identify and evaluate promising new models. Work directly with external model teams — research labs, open-source maintainers, and partner organizations — to bring their work to Cloudflare. Serve as the technical point of contact through integration and launch. * Technical Content & Education: Author tutorials, technical blog posts, and documentation that help developers understand and adopt our AI offerings. Make complex concepts accessible. * Community Engagement & Support: Actively participate in developer communities like Discord. Provide technical support, gather feedback, and build relationships with developers and contributors. * Engineering & Prototyping: Build demos, sample applications, and reference implementations that showcase what's possible with Cloudflare's AI infrastructure. * Internal Product Advocacy: Synthesize feedback from developers and model partners into actionable insights for Product and Engineering teams. Influence roadmap, API design, and feature prioritization. * Event Representation: Present at conferences, meetups, and online events through technical talks, workshops, and live demonstrations. DESIRABLE SKILLS, KNOWLEDGE, AND EXPERIENCE * Technical Depth: Strong experience with Python and ML frameworks (PyTorch, Hugging Face Transformers and Diffusers, Cog). Solid understanding of how models work and how to work with them. * Content Creation: Portfolio of technical writing — blog posts, documentation, tutorials — that demonstrates clear explanation of complex topics. * Public Speaking: Experience presenting technical content at conferences, meetups, or through video content. * Community Presence: Active participation in developer communities. You're visible, helpful, and engaged. * Partnership Experience: Track record of working with external teams — whether open-source maintainers, research groups, or partner engineering teams. * Prototyping Ability: Can build end-to-end applications that integrate models and serve as examples for developers. BONUS POINTS * Familiarity with Cloudflare Workers or serverless/edge architectures. * Full-stack experience (JavaScript/TypeScript) for building complete applications. * Experience with model fine-tuning or vector databases. * Background in ML research or contributions to model development. * Experience with image, video, or audio models. COMMON DAILY ACTIVITIES * Call with a model team to discuss integration requirements for an upcoming release. * Troubleshooting a developer's issue in Discord or triaging GitHub issues. * Writing a blog post on performance characteristics of a newly launched model. * Collaborating with Engineering on how an API change will affect the developer experience. * Building a demo application for an upcoming launch. * Reviewing community feedback and distilling it into product recommendations. APPLICATION MATERIALS * Resume/CV * Portfolio: GitHub, blog, or links to talks and technical writing What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Databricks

CSQ227R231 MISSION The Director of Data & AI Support Engineering - Bangalore will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads.  This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions.  This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on new products and features, and more.  Reporting to the Global Lead of Frontline Support Engineering - Data & AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals. THE IMPACT YOU WILL HAVE: * Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours. * Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads. * Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required. * Partner with internal product engineering teams to make Databricks products better and more supportable. * Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals. COMPETENCIES & REQUIREMENTS * Proven people leadership experience: at least 6+ years as a manager of managers. * 18+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience. * Experience leading large teams (100+ employees) in engineering, technical support, or consulting.  Support experience is not required - but customer facing experience is highly desirable. * Hands-on experience in at least two of the following at production scale: * Big Data (Spark, Hadoop, Kafka) * Machine Learning / Artificial Intelligence projects * Data Science / Streaming use cases * Spark expertise is a big advantage. * Strong background in customer-facing support leadership roles. * Excellent troubleshooting skills across distributed systems. * Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs. * Bachelor’s/Master’s in Computer Science or equivalent technical field. 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-1553 As a Senior Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.  THE IMPACT YOU WILL HAVE * Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. * Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments.  * Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. * Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. * Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. * Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. * Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. * Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust. WHAT WE LOOK FOR * Technical Expertise in Big Data and Spark: 5 – 8 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala. * Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc * Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI. * Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems. * Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills. * Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.  * Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.     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

FEQ227R130 As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, 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 performance tuning, machine learning, industry expertise, or more. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment * Architect production level workloads, including end-to-end pipeline load performance testing and optimisation * Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures * Improve community adoption (through tutorials, training, hackathons, conference presentations) * Contribute to the Databricks Community What we look for: * You will have experience in a customer-facing technical role with expertise in at least one of the following: * Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning. * Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value. * Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP. * Maintain and extend production data systems to evolve with complex needs. * Production programming experience in Python, R, Scala or Java * Deep Specialty Expertise in at least one of the following areas: * Experience scaling big data workloads that are performant and cost-effective. * Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. * Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking. * Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow. * Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) * Native level Korean is required and Business level English is a plus 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

FEQ227R119 As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence 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 the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning. The impact you will have: * Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment * Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization * Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations * Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production * Provide tutorials and training to improve community adoption (including hackathons and conference presentations) * Contribute to the Databricks Community What we look for: * 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDWother systems * Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP * Deep Specialty Expertise in at least one of the following areas: * Experience scaling large analytical data workloads in the cloud that are performant and cost-effective * Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools * Experience migrating on-premise EDW workloads to the public cloud * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Production programming experience in SQL and Python, Scala, or Java * Experience with the AWS, Azure, or GCP clouds * 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads) * 2 years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 6 months of hire * Can travel up to 30% when 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.   Zone 1 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

FEQ327R204 As a Sr. Specialist Solutions Architect (SSA) - Data Engineering and Warehousing, you will guide customers through cloud data engineering transformations across a wide variety of use cases. In this customer-facing role, you will collaborate with and support Solutions Architects. This requires hands-on production experience with large-scale data engineering technologies and lakehouse architecture. The SSA teams help customers navigate evaluations and successfully plan production for their business intelligence workloads while aligning their technical roadmap with the Databricks Data Intelligence Platform. As a deep go-to expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, continuous learning, and internal training programs. In this role, you will establish yourself as a leader in the data engineering and warehousing specialty. The impact you will have: * Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads. * Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization. * Architect production-level data pipelines, including end-to-end pipeline load performance testing and optimization. * Become a technical expert in an area such as data lake technology, big data streaming, or big data ingestion and workflows. * Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content, estimating workload sizing, 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: * 8+ years of experience in a technical role with deep expertise across the following areas: * Software / Data Engineering: Hands-on experience with data ingestion, streaming technologies (e.g., Spark Streaming, Kafka), performance tuning, troubleshooting, and debugging Spark or other big data solutions. * Data Applications Engineering: Experience building data-driven use cases, such as risk modeling, fraud detection, and customer lifetime value (LTV). * Data Warehousing: Advanced query tuning, troubleshooting, data governance, and debugging MPP data warehouses or big data solutions. Experience migrating workloads from EDW systems (e.g., traditional SQL, Redshift, Snowflake, Synapse, EMR) across OLAP & OLTP workloads. * Data Observability: Experience with SIEM tools (e.g., Splunk, Elastic, Sentinel), telemetry/high-velocity log ingestion, and anomaly detection. * Proven track record of maintaining, scaling, and extending production data systems to evolve with complex business needs. * Deep expertise across multiple core data engineering domains, including: * Designing and scaling cost-efficient, high-performance data workloads (ETL/ELT, analytics) in cloud environments. * Building and migrating large-scale data pipelines, including batch, CDC (Change Data Capture), and streaming ingestion. * Migrating on-premises or Hadoop-based data systems to modern cloud platforms (AWS, Azure, GCP). * Developing and managing modern lakehouse and warehouse systems, including Delta Lake technologies, data modeling, governance, and BI integration. * Production programming experience in SQL and at least one of the following: Python, Scala, or Java. * Strong familiarity with cloud infrastructure providers (AWS, Azure, or GCP) is highly desirable. * Degree or Equivalent: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional experience. * 3+ years of customer-facing experience in a pre-sales or post-sales technical role. * Ability to meet expectations for technical training and role-specific milestones 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 $219,100—$301,300 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.

Databricks

P-1554 As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges.  THE IMPACT YOU WILL HAVE * Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. * Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments.  * Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. * Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. * Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. * Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. * Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. * Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust. WHAT WE LOOK FOR * Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala. * Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc * Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI. * Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems. * Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills. * Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems.  * Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions. * Language Skills: Fluent Japanese and business-level English are required.    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. 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.   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-1377 MISSION As a Senior ML and AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable GenAI and ML Workloads with AI agent systems using the Databricks Platform.  You will develop product expertise end-to-end by advising a broad set of customers and use cases across the space - including products such as Agent Bricks, Vector Search and Model Serving.  You will collaborate cross-functionally with other teams - whether that’s working with engineering to improve the product or interacting directly with the account team on a specific customer issue.  TSEs have proven production troubleshooting and optimisation experience to help our customers’ workloads run smoothly and to achieve their strategic objectives with ML/AI technology with Databricks.  Additionally, you are an early adopter of GenAI technology to improve your own efficiency and amplify the team's output.  Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service. THE IMPACT YOU WILL HAVE * Act as senior technical solution expert for complex issues spanning data pipelines, ML pipelines and/or AI applications, applying deep expertise in distributed systems.  * Analyse and troubleshoot production workloads at the code level, optimise for performance, reliability, latency, and cost. * Diagnose and support Machine Learning and/or Large Language Model deployments, including real-time and batch inference, autoscaling, monitoring, logging, and alerting. Serve as a Subject Matter Expert guiding customers on experiment tracking, model registry, versioning, evaluation, labelling, tracing, and lifecycle observability. * Provide high-quality support by guiding customers in leveraging Databricks AI to solve generative AI use cases & challenges, leveraging LLMs, MCP, AI Agents, RAG/Agentic RAG, APIs, vector embeddings, semantic search, Vector Search/Lakebase databases, context orchestration, memory management, and prompt engineering. * Collaborate with internal teams to influence roadmap, product improvements and support business growth. * Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation, or by teaching our AI systems new skills, which will be used internally and externally by customers and partners. What We Look For 8+ years of experience designing, building, and scaling Data, Machine Learning, and AI systems on-premises and in the cloud using Python, Scala, and Java in production environments, with expertise in Machine Learning and/or generative AI. Experience with cloud platforms (AWS, Azure, or GCP); familiarity with Databricks is a plus. Proficient in data engineering necessary for orchestrating end-to-end machine learning training pipelines, ideally with experience processing large datasets with Apache Spark. * SME knowledge in feature engineering, ML frameworks, model training, model monitoring, drift detection, and retraining strategies. Proficient in working with algorithms and deep learning, along with NLP techniques. * Prior experience building, designing or troubleshooting LLM-based Generative AI applications. Familiarity with agentic frameworks (e.g., LangChain, LangGraph etc). Expertise in context orchestration, including prompt design, memory management, retrieval systems, vector embeddings, semantic search, and tool integrations. * Comprehensive Knowledge of MLOps and LLMOps with expertise in model evaluation, scoring, ranking, optimisation, training, validation, and packaging. * Experience developing agent skills, plugins, and debugging with native AI capabilities is a plus.  * Prior support or customer-facing experience is not required for this role, but the ability and desire to develop excellent customer service skills are.  * Prior experience in Data Scientist, ML Engineer, or AI Engineer roles is highly valued. * Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Professional certifications are good to have.   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-1381 At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. ABOUT THE TEAM: The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams. WHAT YOUR IMPACT WILL BE: * Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies. * Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads. * Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput. * Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability. Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation. WHAT WE LOOK FOR: We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all:  * Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala. * Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers. * AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.     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 $170.40—$255.60 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-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues across Spark, AI/ML, Streaming, and Lakehouse platforms. You will help customers realize business value from Databricks Ecosystem products through strong technical leadership, AI-first operational innovation and customer-centric execution. Mission Lead and scale a world-class AI-first Data & AI Support Engineering organization that combines deep technical expertise, operational excellence, intelligent automation and customer-centric support to accelerate issue resolution, improve platform reliability and drive exceptional customer outcomes across enterprise-scale Data and AI workloads. * Build AI-enabled support workflows and reusable automations to improve resolution speed and support quality. * Use Agentic AI systems, logs, telemetry, observability platforms and internal systems to accelerate troubleshooting and root-cause analysis safely. * Create reusable runbooks, prompts, and agentic workflows that scale operational efficiency across teams. * Ensure strong AI governance, customer data safety, validation practices, auditability, and human-in-the-loop controls. * Partner with Engineering and Product teams to drive AI-first support innovation and operational excellence. OUTCOMES * Drive AI-first support transformation initiatives that improve resolution speed, case quality, operational efficiency and customer experience. * Partner with Engineering and Product teams to operationalize AI-assisted diagnostics, observability insights, and intelligent escalation management for enterprise customers. * Build and scale reusable AI-enabled workflows, automations, runbooks, and operational intelligence frameworks across the support organization. * Lead and manage Technical Solutions Engineers, Team Leads, and support operations personnel across AMER support functions based out of the Dallas location. * Own and improve operational KPIs including customer satisfaction, escalation management, backlog health, resolution efficiency, and support quality. * Act as a senior escalation point for customers and internal teams while driving operational excellence and process optimization. * Lead hiring, onboarding, mentoring, technical assessments, training, and career development for support engineers and technical leads. * Conduct regular one-on-ones, annual review, and career development discussions with direct reports. * Be a hands-on technical leader supporting complex issues related to Spark Core, Spark SQL, Structured Streaming, Delta Lake, Lakehouse architecture, and Databricks Runtime technologies. * Guide customers on Spark runtime optimization, distributed systems performance, and best practices for scalable Data & AI workloads. * Own Engineering JIRA escalations and proactively drive faster resolutions for customer-reported product issues. * Maintain internal operational documentation, runbooks, and customer-facing knowledge base assets. * Coordinate closely with Engineering and Backline Support engineering, customer experience intelligence teams to identify, reproduce, and report product defects effectively. * Act as a strong customer advocate and collaborate with cloud partners to support mutual customer success. * Participate in major incident management, escalation handling, on-call rotations, and critical production support activities. WHAT WE ARE LOOKING FOR: * 10+ years of experience designing, building, troubleshooting, and supporting large-scale Data & AI applications using Python, Java, Scala, Spark, or related distributed technologies. * Strong work experience of AI-enabled support workflows, agentic AI systems, Claude Skills workflows, RAG architectures, vector databases and any other operational automation frameworks. * Proven development/delivery experience at a production scale in Databricks tech stacks like Model serving, Lakehouse, Delta, DLT, Lakeflow, Lakebase platforms is a strong plus. * Experience using AI tools for troubleshooting, root-cause analysis, observability analysis, and support workflow acceleration. * Strong hands-on expertise in Apache Spark, Spark SQL, Structured Streaming, Delta Lake, and distributed data processing systems. * Experience leading production-scale workloads across Big Data, Hadoop, AI/ML, Kafka, Streaming, Data Science, or Analytics platforms. * Strong troubleshooting and performance tuning experience for Spark and JVM-based distributed systems, including memory management, garbage collection, heap analysis, and thread dump analysis. * Hands-on experience with AWS, Azure, or GCP cloud platforms. * Proven experience managing globally distributed technical teams and handling high-severity customer escalations. * Strong analytical, debugging, problem-solving, and distributed systems troubleshooting skills. * Excellent written and verbal communication skills with strong customer-facing leadership abilities. * Strong organizational, multitasking, stakeholder management, and operational leadership capabilities.   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.