GovCloud Distributed Systems Software Engineer
leadout capitalMillbrae (CA)
GovCloud Distributed Systems Software Engineer
Posted yesterday
leadout capitalMillbrae (CA)
SENIORITY
Lead
About the role
Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV.
Distributed Systems Software Engineer - GovCloud (Senior/Lead)
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 at scale.
Contribute 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 required
5+ 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, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.