You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability.

You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions.

A typical day will involve leveraging AI and tooling to lead the implementation of a test automation strategy, covering the entire testing pyramid (unit, service, integration, and end-to-end testing) to verify feature functionality for customer use cases.

You will lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for features and releases, and actively participating in the continuous improvement of testing processes.

You will contribute to improving existing automation frameworks to support new functionalities and optimize quality and efficiency.

Collaboration with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development.

Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes.

Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence.

Drive collaboration with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles.

Your expertise will be demonstrated through 9+ years of industry experience in software testing and automation, demonstrable knowledge in at least one programming language (e.g., Kotlin, Java) and strong scripting skills.

Strong knowledge of test automation methodologies, tools, and frameworks, strong hands-on experience with automation frameworks (e.g., Espresso), experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git).

Excellent communication skills towards facilitating interactions with cross-functional teams, expertise developing solutions to ambiguous problems, and integrations across multiple teams with significant impact.

Bachelor’s degree in computer science/engineering or equivalent, fluency in English (reading, writing, and speaking) is essential.

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Key responsibilities include:

• Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.
• Manage the development and rollout of storage services that host millions of customer databases across dozens of regions
• Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.
• Lead operational excellence in 24/7 operation of our system

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with building and shipping storage systems where correctness and performance are essential
• BS (or higher) in Computer Science, or a related field
• 2+ years of experience building and leading a team of engineers working in a related system
• Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards
• Comfort working on cross-functional projects with the ability to deeply understand product and customer personas

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Your primary focus will be on designing, implementing, and scaling core Kubernetes platform capabilities used across ~70 clusters, spread across multiple environments. You'll also lead foundational modernization efforts, such as migrating to a new CNI plugin to overhaul IP security rule management across clusters and regions.

In addition to your technical expertise, you'll collaborate closely with product and security teams to power a rapidly growing enterprise business. You'll spend roughly 70% of your time in hands-on engineering and 30% in design reviews, mentorship, and cross-team collaboration.

To succeed in this role, you'll need 8+ years of software engineering experience, with deep expertise building and operating a Kubernetes-based internal service platform. You'll also need a strong understanding of Kubernetes internals, including controllers/operators, CRDs, networking, and cluster architecture.

If you're excited about building internal platforms, shaping infrastructure strategy, and partnering closely with product and security teams, we'd love to hear from you.

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