Software Engineer (Platform Infrastructure, Orchestration)

• 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

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).- Hands-on experience writing services in Go, or strong proficiency in another systems language with motivation to ramp up on Go
• A collaborative approach: welcoming feedback, sharing context, learning from teammates
• Working understanding of Kubernetes fundamentals (Pods, Deployments, Services, Operators)
• Care about the quality of work shipped — testing, observability, and operability
• 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
• Clear written and verbal communication in a distributed, async-first setting
• 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