Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
We are on the lookout for a Senior Software Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure.
The team’s mission is to create foundational infrastructure and shared functionality that enables engineers to develop, extend, and support Elasticsearch. The team owns common functionality such as services, settings, and scripting, and makes Elasticsearch extensible through plugins or the Painless scripting language. The team also makes Elasticsearch observable by providing logging and telemetry information. We also own the orchestration of Elasticsearch in serverless, the CI/CD workflows, and enable Elasticsearch developers to deliver Elasticsearch to customers - serverless, cloud, and on-premise alike.
You will be a strong individual contributor on the team, but you will also contribute to and lead cross-team projects. We need someone who has great design skills, who can work at a low level of abstraction but can equally drive and communicate technical concepts across a variety of collaborators.
What You Will Be Doing- Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch.
- Making Elasticsearch developers more productive by 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, and proposing solutions.
- 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 our support engineers with the harder problems.
- Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.
- Experience crafting APIs and the ability to reason through tradeoffs.
- Proficient in algorithms and data structures.
- You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
- Experience with low-level Java such as concurrency, parallelism, classloaders, etc.
- Hands-on experience with CI/CD systems and practices (Buildkite, Argo CD, GitOps etc).
- Experience leading large scale projects across engineering teams.
- Willingness to dive into new issues and ask for help when you need it.
- You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.
- You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
- You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
- You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.
- 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
- Knowledge of Java build tools (Gradle, Maven, etc), with a strong preference for Gradle experience.
- Experience working in a platform team or developer productivity team
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected]. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
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Skills Required
- Experience crafting APIs and reasoning through technical tradeoffs
- Proficiency in algorithms and data structures
- Strong core Java skills, including standard data structures, concurrency constructs, and newer language features
- Experience with low-level Java, including concurrency, parallelism, and classloaders
- Hands-on experience with CI/CD systems and practices, including Buildkite, Argo CD, or GitOps
- Experience leading large-scale projects across engineering teams
- Ability to own projects from technical design through completion
- Proven track record using AI to accelerate development, debug complex systems, and optimize code
- Ability to collaborate across functions and teams and transition between projects, codebases, or teams
- Ability to work autonomously and drive decisions in a distributed team
- Knowledge of JDK internals, including modules, the Java memory model, and garbage collection
- Experience with observability and telemetry solutions, particularly OpenTelemetry
- Knowledge of Go
- Knowledge of containers and Kubernetes
- Knowledge of Java build tools such as Gradle or Maven, preferably Gradle
- Experience working in a platform or developer productivity team
Elastic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elastic and has not been reviewed or approved by Elastic.
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Fair & Transparent Compensation — Pay is considered competitive across many technical and go‑to‑market roles and compares well within its peer group. Strong equity components and benefits bolster perceived total compensation.
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Healthcare Strength — Health coverage is described as fully paid for employees and families in many locations, which is unusually generous among tech firms. Comprehensive medical, dental, and vision coverage is emphasized in official materials.
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Parental & Family Support — A minimum of 16 weeks of paid parental leave is offered globally, with additional family‑formation support. These policies are positioned as core elements of the package.
Elastic Insights
What We Do
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
Why Work With Us
Free and open isn’t just how we build our products, it’s how we build our culture. We value creativity and mobility, so you can grow how (and where) you want to… and be happier at work.
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