Senior Software Engineer, Elastic
Engineering Productivity, CI/CD
$133.1-252.9k
Salary varies by location
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
$133.1-252.9k
Salary varies by location
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Do you want to work on distributed search and analytics software which impacts the lives of millions of people? We’re not interested in your previous job title
- Instead, we are looking for forward-thinking people with a deep knowledge of Java, algorithms, and concurrency, who have experience contributing to and managing large Java codebases, with knowledge of CI/CD systems and practices and Java build tools, and who love to solve new challenges
- Experience contributing to and managing large Java codebases
- Knowledge of CI/CD systems and practices (Buildkite, Argo CD, GitOps etc)
- Knowledge of Java build tools (Gradle, Maven, Bazel etc), with a strong preference for Gradle experience
- Familiarity with Unix/Linux and shell scripting
- Experience of container runtimes (e.g. Docker) and orchestration (e.g. Kubernetes)
- A high level of autonomy. The distributed nature of the company offers freedom to work when and how you see fit, but also requires team members to work independently, and reach out for help when stuck
Desirable
- Experience running Elasticsearch at scale
- Experience maintaining open source libraries
- Experience with continuous delivery of a SaaS product
What the job involves
- We are on the lookout for a Senior Java Engineer to join our Elasticsearch Delivery team
- The mission of the team is to enable Elasticsearch developers to be productive and efficient, ensure the stability of build and continuous integration environments, and develop the testing infrastructure, tooling and automation in support of Elasticsearch development, quality assurance and developer workflows
- Working on large impactful projects that evolve the developer workflows for Elasticsearch engineers enabling them to be as productive and efficient as possible
- Shaping our build and continuous integration environments
- Design and build tooling and automation for Elasticsearch development
- Driving strategy for how Elasticsearch deploys in the cloud
- Solving difficult issues, including performance or concurrency issues, and proposing solutions
- Collaborating in the open with the Elasticsearch team, Elastic users, and other supporting open source projects
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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