Software Engineer – AWS

About this role

LOCALSTACK - THE LOCAL CLOUD SANDBOX FOR DEVELOPERS AND AI AGENTS We are a fast-growing Series A startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. We’ve closed our last $25mil round in Q4 2024, led by Notable Capital https://www.notablecap.com/, CRV https://www.crv.com/ and Heavybit https://www.heavybit.com/. LocalStack is a local cloud development platform.

LocalStack makes it easier, faster, and less expensive for software teams to ship reliable, high-quality applications to the cloud. The cloud was built to run software, not to support AI-native development workflows. As the world's leading local cloud development platform, LocalStack provides secure local sandboxes that simulate cloud environments, enabling AI agents and software developers to find and fix risks faster and more effectively than they can in the cloud.

Our customer base ranges from SMBs to Global Fortune 500 companies. Our clients include companies like NASA, Harness, IBM, Workday, Comcast, Apple, 3M, Block and many more. We are sustainably growing our globally distributed teams across GTM, operations and engineering. In 2025 we almost doubled in size and continue to grow across all areas in 2026. LocalStack is headquartered in Zurich/Switzerland 🇨🇭, with a small engineering office in Vienna/Austria 🇦🇹 and remote team members from 25 countries including 🇺🇸the US, 🇫🇷FR, 🇬🇧UK, 🇨🇦CA, 🇪🇸ES, and many more! 👉Check our Notion Candidate Handbook https://localstack.notion.site/candidate-handbook-x-localstack and our GitHub https://github.com/localstack/localstack! ✅ ABOUT THE ROLE As a Software Engineer on the AWS Emulator team, you’ll help expand and harden LocalStack’s AWS emulator by taking ownership of individual services and making them behave as closely as possible to real AWS.

The challenge is genuinely unusual: you’ll reimplement cloud services that you can only observe from the outside. Making a service “work” is one thing; matching AWS behaviour — including edge cases and undocumented details — is a very different engineering problem. We’re looking for someone who learns quickly, enjoys tackling unfamiliar problems, and can turn incomplete information into working solutions. You’ll have end-to-end ownership of your services, from investigating how they behave and deciding what needs to be built through implementation, testing, and ongoing improvements.