Earthly makes CI/CD super simple. Its products include the open source Earthly – the instantly familiar CI/CD framework with repeatable builds that you write once and run anywhere; Earthly CI – the fast, repeatable CI/CD platform; and Earthly Satellites – the... Backed by Innovation Endeavors.
About the role
We're looking for someone who is an excellent software engineer and an excellent cloud engineer. You can design and build a substantial backend feature in Go, work through the architecture it needs, deploy it safely, and debug it when production behaves differently from the test environment.
What they're looking for
- You need substantial software engineering experience and deep production infrastructure experience, plus extensive use of AI in your engineering work
- Strong Go and software engineering fundamentals. You've designed, shipped, and maintained production services, not only infrastructure scripts. You're comfortable with concurrency, APIs, testing, performance work, and debugging distributed systems
- Deep AWS experience. You've made and lived with cloud architecture decisions involving networking, IAM, compute, storage, and managed databases. You understand failure modes, isolation boundaries, and cost
- Extensive Terraform experience. You've designed reusable modules and managed production infrastructure through code, including state, environment separation, drift, and safe changes to existing resources
- Strong operational instincts. You're comfortable with Linux, Docker, networking, and troubleshooting under pressure. You've taken responsibility for systems after launch and made them easier to operate over time
- Experience with production data and observability systems. You can operate and troubleshoot PostgreSQL or comparable SQL databases, object storage such as S3, and metrics, logs, and traces using tools such as Prometheus, Grafana, or OpenTelemetry
More about this role
Write production software, design the cloud architecture behind it, and own how it runs in the real world.
Earthly Lunar is a guardrails engine for the AI era. Engineering organizations use it to turn their standards for quality, security, and compliance into automated checks across their repositories and CI/CD pipelines. Teams get feedback directly in pull requests, leaders can see where standards aren't being met, and compliance evidence is collected as the work happens. The standards apply whether a developer or an AI agent writes the code.
We're a small, AI-native team backed by Innovation Endeavors and Work-Bench, with angels including Jeff Dean, the CEOs of Datadog, Cockroach Labs, and Dash0, the founder of Sentry, and the creators of Elixir, Pandas, and Ruff/uv. We're building for enterprise engineering teams with complex environments and high expectations for reliability.
We're looking for someone who is an excellent software engineer and an excellent cloud engineer. You can design and build a substantial backend feature in Go, work through the architecture it needs, deploy it safely, and debug it when production behaves differently from the test environment.
You'll work...
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