Distributed Systems Software Engineer - Public Cloud; Mid​/Senior​/Lead​/Principal

Distributed Systems Software Engineer - Public Cloud (Senior/Lead/Principal)

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. Users rely on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all customizations and integrations. The role requires deep experience with concurrency, large‑scale systems, data management challenges, a strong understanding of highly available solutions, and advanced prompt engineering skills.

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba
• Design, develop, debug, and operate resilient distributed systems that run across thousands of compute nodes in multiple data centers
• Use and contribute to open‑source technology (Spinnaker, Zookeeper, etc.)
• Develop infrastructure‑as‑code using Terraform
• Write microservices on containerization frameworks such as Kubernetes, Docker, Mesos
• Build and ship high‑quality, production‑grade software using modern engineering practices, with AI as a core part of the development workflow by pushing the boundaries of AI development tools (Cursor, Windsurf, Claude, OpenAI API) to deliver secure, optimized, and high‑quality code
• 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
• Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance
• Balance 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

• A related technical degree is required
• 3+ 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
• 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 skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production‑ready
• 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 systems and relational databases like Postgres is a plus

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