Senior Software Engineer, Elastic
Prism, Security
€87.3-138.1k
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
€87.3-138.1k
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Several years of experience building and maintaining production software
- Deep TypeScript and JavaScript skills, especially with React and Node.js
- Successfully led projects from conception to deployment
- A proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
- 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
- Experience with Kibana, Elasticsearch, or Elastic Security
- Experience with SIEM/UEBA
- Knowledge with performance profiling and optimization techniques
- Experience building AI-assisted or agent-guided workflows with human controls
What the job involves
- The Prism team builds the systems that turn Elastic Security's raw data into a trustworthy picture of the users, hosts, and services in a customer's environment
- We power the Entity Store, entity risk scoring, entity resolution, and the data maintainers that analysts rely on to understand who did what, what's risky, and what to investigate next
- We build features that have to work at scale, and we care deeply about correctness and performance
- As a senior engineer, you will lead technical work across this area
- You'll partner with product, design, and engineering to turn hard, ambiguous problems into reliable, performant systems that ship to real security teams
- We're a distributed team — we work across time zones and collaborate in GitHub, Slack, design reviews, and code reviews
- Own small-to-medium projects from technical design through production, including data modeling, background tasks, and APIs
- Make our features fast and reliable at scale: profile and optimize queries, tame timeouts, and design for a range of customer topologies
- Write high-quality TypeScript and React code, with Node.js services and APIs where needed
- Build telemetry, tests, and safeguards so the systems behave predictably in production
- Review code, support teammates, and improve team practices
- Partner with teams across Elastic Security, Kibana, Elasticsearch/ES|QL, and Support
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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