Software Engineer, Elastic
Search Experiences
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
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Experience building full-stack software using TypeScript and Javascript, ideally in React
- Excellent practical judgment. You know how to prioritize, when to collaborate and ask for help, and when to be independent
- Measured and clear written and spoken communication skills. You work well with others and can craft concise and expressive thoughts into correspondence: issues, investigations, documentation and onboarding material
- An interest in learning new tools, languages, workflows and philosophies that can help you grow. You can function well in an environment that drives towards change
What the job involves
- We are looking for a talented software engineer who can work collaboratively in a distributed environment
- We hire low-ego engineers who know how to strike a balance between speed of delivery and maintainability
- We love engineers who can engage in product discussions and aren't afraid to contribute ideas and critique features
- The Search Experiences team is responsible for exposing Search features in Kibana as well as being in touch with the developer community, writing blog posts and creating sample applications that developers use as the starting point for integrating Elasticsearch into their applications
- They design and build onboarding flows, guide users towards best practices for Elasticsearch features, and ensure the frontend and backend TypeScript code the Search org delivers is of the highest quality
- Software engineers on this team work closely with the Search Relevance, Search Inference and Elasticsearch Search teams to add features that make search more relevant
- The team is currently composed of 5 full-stack engineers, who contribute primarily to Kibana and several Javascript and Typescript code packages, but can work all over the stack
- You will be building product enhancements for search components with contributions to Kibana, Search UI and other Elastic-maintained packages
- You will collaborate with teammates in a mostly text-based, asynchronous, remote-first team environment with occasional video calls and yearly conferences
- You’ll be hands-on with the team and codebase, reviewing work and providing constructive feedback
- You will collaborate with the team on features, helping break them down into technical deliverables
- You’ll act as an important and communicative part of an engaged and spirited team
Application process
- Please include whatever info you believe is relevant: resume, GitHub profile, code samples, blog posts and writing samples, links to personal projects, etc
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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