Software Engineer II - Platform Infrastructure (Orchestration)

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.

What does a Software Engineer II do here?

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

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

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.

The final compensation offered within the appli