Staff Software Engineer, Full Stack, Cloud Reliability Intelligence

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

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 BigQuery 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. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits.

Minimum qualifications:

• 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.

Preferred qualifications:

• 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 (TypeScript, Angular).
• Familiarity with large-scale reliability analysis, or policy conformance frameworks.

Responsibilities

• 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 (TypeScript, Angular) used by over 10,000+ Google engineers.
• Prototype and productionize 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.