Software Engineer, Full Stack, Cloud Reliability Intelligence

Staff Software Engineer, Full Stack, Cloud Reliability Intelligence

Google Sunnyvale, CA, USA

• Bachelor's degree in Computer Science or a related technical field or equivalent practical experience.
• 8 years of experience with data structures and algorithms.
• 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
• 3 years of experience in a technical leadership role; overseeing projects.
• Experience overseeing full‑stack architectures, ensuring cohesion between backend data automation layers and engineering frontend.

• Experience in applying LLMs or Generative AI to automate workflows.
• Experience designing and scaling high‑performance backend pipelines (Go, Java) and data‑rich user interfaces (Type Script, Angular).
• Familiarity with large‑scale reliability analysis, or policy conformance frameworks.

The Reliability Outcome Enablement team develops the products, core infrastructure, and datasets that drive and sustain Google Cloud platform's (GCP's) reliability promises. We build the evergreen intelligence platform, the core system that automates resilience across the GCP ecosystem. Every product team at Google (from Big Query to Spanner) relies on our infrastructure and integrated data lake to keep their services bulletproof.

We are currently expanding our platform to integrate Generative AI and LLM‑driven workflows, moving from reactive tracking to a predictive system that catches failures and automates risk mitigation.

• Own the technical roadmap and long‑term architecture for the Evergreen platform, including a unified data model for promise delivery across GCP.
• Design and scale high‑performance backend pipelines (Go, Java) and data‑rich user interfaces (Type Script, Angular) used by over 10,000+ Google engineers.
• Prototype and product ionize LLM‑based features to parse unstructured incident data, automatically file risk tickets, and suggest reliability fixes.
• Partner closely with Product Management, Data Science, and leadership to align multiple organizations on a unified approach to policy measurement and enforcement.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.