Senior Platform Productivity Engineer - Core/Infra - Elasticsearch

The role

You will contribute to large projects that evolve the core infrastructure of Elasticsearch. You will design and implement horizontally-scalable features and APIs, improve cloud system observability, and automate developer workflows.

What you will do

• Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch.
• Identifying and developing opportunities for automation and integrating agentic apps into development workflows.
• Designing and implementing new horizontally-scalable features and APIs in Elasticsearch.
• Solving difficult issues, including performance or concurrency issues.
• Improving operation and observability of Elasticsearch cloud systems.
• Collaborating in the open with the ES team, Elastic users, and other supporting open source projects.
• Supporting support engineers with harder problems.
• Owning operational investigations end-to-end.

Required qualifications

• Hands-on experience with CI/CD systems and practices (Buildkite, Argo CD, GitOps etc).
• Experience crafting APIs and the ability to reason through tradeoffs.
• Proficiency in algorithms and data structures.
• Experience in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
• Knowledge of Java build tools (Gradle, Maven, etc).
• Experience working with large (millions of code lines) code bases.
• Experience leading large scale projects across engineering teams.
• Willingness to dive into new issues and ask for help when you need it.
• Ability to own projects from beginning to end.
• Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
• Ability to collaborate across functions and teams.
• Ability to work autonomously in a distributed team using asynchronous, direct, and transparent communication.

Nice to have

• Experience working in a platform team or developer productivity team
• Experience with low-level Java such as concurrency, parallelism, classloaders, etc.
• Knowledge of JDK internals: modules, the Java memory model, garbage collection, database load, caching techniques, etc.
• Experience with observability and telemetry solutions, particularly OpenTelemetry
• Knowledge of Go
• Knowledge of containers and Kubernetes

Benefits

• Eligible to participate in Elastic's stock program
• Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings
• Competitive pay
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules
• Generous number of vacation days each year
• Match up to $2000 for financial donations and service
• Up to 40 hours each year to use toward volunteer projects
• Minimum of 16 weeks of parental leave

Before you apply

• An export license may be required if you are located in or are a national of Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (the Crimea regio

About the company

Elastic, the Search AI Company, enables everyone to find the answers they need in real time using all their data at scale. The Elastic Search AI Platform is used by more than 50% of the Fortune 500.