Senior Software Engineer, Elastic
Detections and Response Team
More information about 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
More information about location
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Experience in developing reasonably complex software with high quality over multiple years, as well as maintaining it in production environments. Large scale is a plus
- Experience in TypeScript, React, Node.js
- Experience in Elasticsearch and the Elastic stack is a plus
- Hands-on experience in writing robust unit, integration, and E2E tests
- Focus on quality. You are a great code reviewer and you often find bugs and suggest UX improvements when reviewing or testing other people’s work. You care how the software is designed
- Ability to work autonomously in a distributed team throughout the world. You’re great at driving projects without much guidance. You effectively use many async and sync communication methods and tools to make it clear and transparent for your team and stakeholders
What the job involves
- The Security Detection Rule Management team is building detection and alerting features that are at the core of the Elastic Security product
- The Elastic stack is widely used among the security analyst community and detection engineers, and our team is working to improve the workflows and user experience of these users
- In this role, you will be solving the broad problem of detecting suspicious events and triggering alerts based on them
- Specifically, you will be focused on improving the user experience of managing detection rules, monitoring their health and performance, distributing prebuilt rules created by security experts internally at Elastic, customizing prebuilt rules and resolving conflicts via an automated diff/merge strategy, improving these workflows with Generative AI, and making sure all that works at scale
- The team is diverse and distributed
- You will be working remotely with people from Germany, Netherlands, Spain, United States, United Kingdom, and more
- We meet via Zoom, brainstorm in Google Docs, plan and discuss in public GitHub issues, and chat on Slack
- Write, test and maintain high-quality, client-side and server-side TypeScript code
- Build features and UI workflows that serve detection engineering use cases
- Create Node.js APIs and background tasks that do data searches and manipulations
- Create dev tools that might help us improve our development process
- Work on open-source, contribute to the Kibana codebase and issues, communicate with the Elastic community via GitHub, Slack, and discussion forums
- Work with our support team to help customers answer questions and resolve issues
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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