Senior Java Engineer, Elastic
Core/Infrastructure, Elasticsearch
$133.1-252.9k
Salary is dependent on location. Offers Stock Program
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
$133.1-252.9k
Salary is dependent on location. Offers Stock Program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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