Software Engineer, Elastic
Platform Infrastructure, Orchestration
€62.8-82.4k
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
€62.8-82.4k
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- Hands-on experience writing services in Go, or strong proficiency in another systems language with motivation to ramp up on Go
- Working understanding of Kubernetes fundamentals (Pods, Deployments, Services, Operators)
- Familiarity with at least one major cloud provider (AWS, Azure, or GCP)
- Curiosity about distributed systems and how services communicate at scale
- Comfort working through ambiguity with support from more experienced engineers
- A collaborative approach: welcoming feedback, sharing context, learning from teammates
- Clear written and verbal communication in a distributed, async-first setting
- Care about the quality of work shipped — testing, observability, and operability
Desirable
- Experience with Crossplane, Kubernetes operators, or similar infrastructure-as-code tooling
- Proven ability to seamlessly transition between different projects, codebases, or scrum teams based on dynamic business priorities
- You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
- Demonstrated experience leveraging AI-assisted development tools to accelerate feature development, debug complex systems, and optimize existing codebases
- Background working in a cloud-based SaaS environment or on a developer platform
- Familiarity with the Elastic Stack or other observability tools
- Open source contributions of any kind
- Experience supporting production services through an on-call rotation
What the job involves
- The Elastic Cloud Platform powers Elastic's products in the cloud. Our teams take the undifferentiated heavy lifting off Elastic's engineering organization — building and operating the services that let other engineers develop, ship, and run software at scale
- Ship code that engineering teams across Elastic rely on
- Learn from experienced engineers while owning real work
- Build expertise in Go, Kubernetes, and the cloud-native ecosystem
- Find your specialty and grow with the team
- The role is fully distributed — collaboration happens every day over GitHub, Slack, and Zoom!
- Build features and components for production services
- Take ownership of well-scoped pieces of larger projects, from requirements through production
- Propose technical solutions and bring them through to working code
- Pair with senior engineers on harder problems and ask clarifying questions early
- Participate in code reviews and design discussions
- Helps operate the services we own and take part in the on-call rotation
- Investigate incidents beyond the runbook and leave them better for the next person
- Automate repetitive work through code
- Communicate status and blockers early and often
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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