Senior Staff Software Engineer- Networking

Databricks

P-1533 At Databricks, we are passionate about enabling data 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.  Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration. We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds.  In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources. You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams. This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale. What we look for: * 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language * 10+ years of experience developing large-scale distributed systems from scratch * Experience working on a SaaS platform or with Service-Oriented Architectures. * Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc. 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.

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. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.    At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences.    Join our team! We’re building a world where Identity belongs to you.      The Engineering Opportunity We are seeking a Principal Site Reliability Engineer to serve as a technical leader for reliability engineering within Okta's Emerging Products Group (EPG).   This role extends beyond operating production systems. You will define technical strategy, influence platform architecture, establish reliability standards, and lead transformational initiatives that improve scalability, resilience, security, and operational excellence for one of Okta's fastest-growing product areas.   Initially, you will partner closely with the Spera / Identity Security Posture Management (ISPM) engineering organization to establish reliability strategy, operational excellence, and platform maturity. Over time, you will help drive broader reliability initiatives across EPG and contribute to the evolution of reliability engineering practices across multiple products including Workflows, IGA, PAM, and ISPM.   You will work closely with engineering leadership, product leadership, architects, and Staff engineers to shape the future of Okta's cloud infrastructure and reliability practices. The ideal candidate combines deep technical expertise with strong organizational influence and has a proven track record of leading large-scale engineering initiatives that drive measurable business outcomes.   What You'll Be Doing   Reliability Strategy & Architecture * Define and drive the reliability strategy for critical product and platform services. * Establish standards for availability, resilience, observability, incident management, and operational readiness. * Lead architecture reviews for critical services and platform initiatives. * Partner with engineering leaders to ensure reliability objectives align with business priorities and customer expectations. * Create frameworks, standards, and operational guardrails that enable engineering teams to operate safely at scale. * Guide service architecture toward simplicity, scalability, resilience, and operational excellence. * Drive major initiatives that improve platform maturity and long-term sustainability. Product & Platform Leadership * Own reliability architecture and operational excellence for the Spera / ISPM product area. * Collaborate closely with engineering leadership to establish reliability objectives and technical roadmaps. * Lead large-scale scalability, resiliency, and performance initiatives. * Partner with platform and product engineering teams to build self-service operational capabilities that improve developer productivity while strengthening reliability and security. * Influence technical direction through data-driven recommendations, engineering expertise, and collaborative leadership. * Support highly available, large-scale cloud environments as part of an on-call rotation. ENGINEERING & AUTOMATION * Design, build, and operate large-scale cloud infrastructure and production services. * Develop software, automation, and infrastructure using Go, Python, Terraform, and related technologies. * Eliminate operational toil through automation, tooling, and platform engineering. * Improve deployment safety, operational workflows, and platform consistency through GitOps and Infrastructure-as-Code practices. * Collaborate on modernizing existing workloads and aligning them with evolving platform capabilities. * Lead complex engineering initiatives from conception through production rollout and long-term operational ownership.   TECHNICAL LEADERSHIP * Mentor Staff and Senior engineers across multiple teams and organizations. * Lead technical reviews, design reviews, and operational readiness assessments. * Build engineering consensus across teams with differing priorities and objectives. * Help develop the next generation of technical leaders within Okta. * Drive adoption of reliability engineering best practices across EPG. * Share patterns, tooling, and operational practices across Workflows, Inbox, PAM, and ISPM teams. * Influence technical direction through expertise, collaboration, and execution rather than organizational authority. AI & AGENTIC OPERATIONS * Lead the exploration and adoption of AI-assisted reliability engineering practices across EPG. * Design and champion agentic systems that accelerate troubleshooting, incident response, root-cause analysis, and operational decision-making. * Evaluate emerging AI technologies and identify practical opportunities to improve reliability engineering workflows. * Establish best practices for safe, effective, and measurable use of AI within production operations. * Drive initiatives that reduce operational toil and improve engineering productivity through intelligent automation. OUR TECH STACK * Infrastructure/Orchestration: Kubernetes (EKS/GKE), Terraform, Helm, Git, ArgoCD, Gitops * Programming: Golang, Python * Observability: Datadog, Splunk * Data Stores: PostgreSQL, Redis, OpenSearch     What We Are Looking For TECHNICAL EXCELLENCE * Extensive experience designing and operating large-scale production systems in AWS and/or GCP. * Deep expertise with Kubernetes in production environments. * Experience designing reliability strategies for Kubernetes-based platforms. * Strong expertise troubleshooting Kubernetes networking, storage, scheduling, scaling, and workload lifecycle challenges. * Extensive experience with Infrastructure as Code technologies such as Terraform and Helm. * Strong software engineering skills in Golang and/or Python. * Experience building internal platforms, developer tooling, and operational automation. * Deep understanding of distributed systems architecture and cloud-native application design. * Strong understanding of cloud networking fundamentals including DNS, service discovery, ingress, load balancing, TLS, traffic management, and multi-region architectures. * Experience operating and troubleshooting distributed data platforms such as PostgreSQL, Redis, OpenSearch, MySQL, Cassandra, or similar technologies. * Experience establishing observability standards, monitoring strategies, and operational best practices across engineering organizations. * Experience with or strong interest in AI-assisted engineering and operational automation. RELIABILITY & OPERATIONAL EXCELLENCE * Strong expertise operating customer-facing production systems at scale. * Deep understanding of reliability engineering principles including SLIs, SLOs, error budgets, capacity planning, and resilience engineering. * Experience leading major incident response efforts and driving long-term operational improvements. * Strong understanding of CI/CD, GitOps, deployment strategies, and automation-first operational practices. * Proven success driving large-scale reliability transformations and architectural modernization efforts. * Ability to balance reliability, scalability, security, customer experience, and engineering velocity. SECURITY & COMPLIANCE * Strong understanding of cloud security fundamentals, IAM, secrets management, and secure infrastructure design. * Experience operating systems within security-sensitive or regulated environments is a plus. * Familiarity with operational controls, compliance requirements, and security best practices in cloud-native environments.     LEADERSHIP & INFLUENCE * Demonstrated success leading complex technical initiatives across multiple teams and organizations. * Demonstrated ability to drive technical strategy and influence engineering outcomes across multiple organizations and leadership teams. * Proven ability to influence technical direction without direct organizational authority. * Experience working effectively within globally distributed engineering organizations spanning multiple timezones and cultures. * Strong collaboration, communication, and stakeholder management skills. * Experience mentoring Staff engineers and helping develop future technical leaders. * Ability to translate business objectives into technical strategy and measurable reliability outcomes. * Experience working closely with engineering leadership, architects, and product leaders to drive organizational change. PREFERRED QUALIFICATIONS * Experience operating SaaS platforms serving millions of users. * Experience supporting globally distributed production environments. * Experience leading platform engineering or reliability transformation initiatives. * Experience implementing AI-assisted operational tooling, agentic workflows, or intelligent automation platforms. * Prior experience as a Staff, Principal, or equivalent senior technical leader in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or Cloud Operations.   #LI-Hybrid #P25309_3469886 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.

Databricks

P-1385 We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact You Will Have * Solve real business needs at large scale by applying your software engineering. * Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers * Low level systems debugging, performance measurement & optimization on large production clusters. * Build architecture design, influence product roadmap, and take ownership and responsibility over new projects * Use your deep experience to help prevent and investigate production issues. * Plan and lead complicated technical projects that work with several teams within the company. * A strong influencer or driver in the organization’s roadmap and direction. * Lead a TLG or similar review committee, or initiate and sustain an org/eng-wide initiative driven by engineering needs. * Break down complex problems quickly into potential solutions, knowns, and unknowns, and de-risk (through prototyping/validation). * Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. What We Look For * 15+ years industry experience building and supporting large-scale distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience driving company initiatives towards customer satisfaction. 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.