GovCloud Distributed Systems Software Engineer

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Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship.

You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role requires advanced prompt engineering skills — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Your Impact:

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools (Cursor, Windsurf, Claude, OpenAI API) to deliver secure, optimized, and high-quality code.

Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)Developing Infrastructure-as-Code using Terraform Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation tribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance

Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance

Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available

Required Skills:

A related technical degree required5+ years backend software development experience

Deep knowledge of programming in Java, Golang, Python, or Ruby Experience owning and operating multiple instances of a critical service

Experience with Agile development methodology and Test Driven Development

Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications

Experience with distributed database system and relational databases like postgres is a plus.

A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.

Experience using AI tools (e.g., Claude Code, Git Hub Copilot, Codex, Cursor, etc.) in development workflows

Advanced prompt engineering…