Staff Software Engineer - Databases

Databricks

P-1403 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. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. 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. * Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc). * 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.

Databricks

P-375 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. Ingesting data into the Lakehouse is a strategic area of investment for Databricks and a key enabler for Data and AI workflows. Lakeflow Connect is looking to solve this problem by providing ready-to-use, point-and-click connectors for a wide variety of sources, including enterprise applications (like Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being an important part of Lakeflow and Data Engineering, Connect is also a key platform capability. Every surface in Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion capabilities and the lead for this role will need to work closely with other products to embed Connect into these surfaces. We are looking for engineers with experience in core Database internals to join our Lakeflow Connect team. A key part of Connect is to extract data from OLTP systems while imposing minimal load on production systems. To do this efficiently we are building systems that use techniques such as incremental data capture, log parsing, etc. We are looking for engineers who continue to be hands on and are looking to make a large impact on an important problem for the company. 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. * Experience in areas like Database replication, backup, transaction recovery at one of the major database vendors (Microsoft SQL Server , Oracle, IBM etc). * 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.

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.   * We're looking for a Senior Software Engineer in Test, who is eager to drive non-functional load testing, identify critical optimization areas, and conduct in-depth analysis to understand "what's broken and why." as well as “How can we improve the simulation?”  * You'll be at the forefront of research and development, uncovering efficiencies at a platform level and collaborating with engineering teams across the organization to implement solutions. * This isn't your typical QA or testing role, but rather a deep engineering role focused on performance load testing About the Team: * Our Performance Load testing  team operates on a hub-spoke model, with a core focus on deep understanding load generation systems, test data generation, and node.js and golang applications.. * We partner with engineering teams from across all products and platforms at Auth0, working to create more accurate simulated load generation and data generation tests.  * You'll be supporting specific teams with performance load coverage, load optimization and testing and ensuring our systems not only maintain their current high level of performance but continuously evolve and improve. * You will partner with other senior load testing engineers, and mentor more junior engineers, working to achieve a high level of team impact.  What We're Looking For: * Programming Knowledge: Experience with a programming language like Node.js, TypeScript, JavaScript, or Golang is a requirement. We're looking for someone with a tester's mindset who can understand code, databases and data structures and collaborate effectively with our engineering teams to ensure high-quality software. Experience with Databases: Have used databases such as MongoDb or SQL to store configuration or user data, understand tradeoffs between persistence and performance, and have used optimizations in these areas. Familiarity with indexes, query planners a plus. The ability to understand complex join queries and model datasets that leverage them. * Microservices & Kubernetes Exposure: High-level understanding of Kubernetes (K8s) and microservices architecture. * Public Cloud Experience: Familiarity with public cloud environments, AWS and Azure.  * A "Developer" Mindset: You're passionate about digging into code, understanding system behavior, and proactively identifying areas for optimization. Observability tooling experience: Experience using or implementing datadog, new relic, open tracing, open telemetry or similar request tracing tooling.   Load testing tool experience with: Jmeter, Apache Bench, Artillery, etc. Linux and Containers: You have leveraged linux and containers in production in the past.  * You have deep testing experience, 5+ years working with advanced load generation and analysis systems and tools.  You understand Agentic AI tools, Experience with tools like Claude, Gemini, CoPilot implementing agents, skills, workflows and integrating them into CI/CD pipelines, Git hooks and review processes. Why Join Us? * High Scale, High Impact: Work on a global identity platform with millions of users, where your contributions will have a significant and immediate impact across our entire engineering organization. * Solve Complex Problems: Tackle challenging performance and resilience issues in a distributed, high-throughput environment. * Exceptional Growth Opportunities: * Access to conferences and ongoing learning. * Mentorship from staff and senior team members. * Exposure to low-level problems, infrastructure knowledge, microservices, and Kubernetes scheduling optimization. * Opportunities to go deep into areas that genuinely interest you, continuously expanding your skillset. #LI_Hybrid P24594 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.