About Elastic
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
About the role
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.
As a Software Engineer II, you will: * 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!
What you will be doing
- 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
Compensation
The typical starting salary range for this role is: €62.800—€82.400 EUR. Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
Benefits
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
What you will bring along
- 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
Bonus Points
- 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
