Senior Software Engineer, Elastic
Elasticsearch, Analytical Engine, Database Internals
$133.1-252.9k
Salary dependent on location. + Stock Program
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 dependent on location. + 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
- Strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You have a strong desire to optimize and make use of the most efficient data structures and algorithms
- Experience with software systems engineering
- Working with a high level of autonomy, able to tackle projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components
- Excellent verbal and written communication skills. Collaborating on the internet is hard. We try to be supportive, appreciative, and trusting in all of our interactions. And we expect that from everyone too
Desirable
- You've built things with Elasticsearch before, and you have experience in the search and information retrieval space and understand the constructs and theory behind it
- Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and an understanding of how they work and why they work that way
- Experience working with open source projects and familiar with different styles of source control workflow and continuous integration
What the job involves
- We're looking for a Senior Software Engineer to join the Elasticsearch - Analytical Engine team
- This expert team of engineers is responsible for building new analytics capabilities in Elasticsearch’s new compute engine, and accessed via our new piped query language called ES|QL
- This is an engineering role that entails using your knowledge in this space in order to design and build the next generation of ES|QL capabilities
- As a full time Elasticsearch contributor, you will design and contribute to the development of data-intensive improvements
- You’ll research the latest features, data-structures, and algorithms in the industry to ensure we’re building the right capabilities for our users
- As an authority in several areas of Elasticsearch, everyone will turn to you when they have a question
- You'll improve those areas based on your questions and your instincts
- Our globally distributed team of expert engineers is focused on the search and query (ES|QL) analytics APIs of Elasticsearch
- This inclusive team collaborates closely with other user experience teams crafting a friendly user interface, and with teams closer to the customer building solutions on top of these capabilities (Search, Security, Observability)
- Finally, we write idiomatic modern Java -- Elasticsearch is 99.8% Java!
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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