Software Engineering Manager, Site Reliability Engineering, Gemini Enterprise Agent Platform, Google Cloud

About the Job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to users' needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

Gemini Enterprise supports platforms for third-party models, including popular open-source models from Model Garden and enterprise-grade models from key partners like Anthropic.

In this role, you will be at the forefront of ensuring the rock-solid reliability and performance of the infrastructure underpinning these third-party model deployments, with a focus on our GKE-based serving stack.

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.

Poland: zł480000 - zł492000 (PLN) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Lead a team of site reliability engineers (SREs), guide their professional development, and ensure their success.
• Own end-to-end availability and performance of Gemini Enterprise Agent Platform, and build automation to prevent problem recurrence. Automate response to all non-exceptional service conditions.
• Lead by example, mentor the team, and establish credibility through quality technical execution, including code reviews.
• Extend site reliability engineering (SRE) best practices across the Cloud AI development organization to ensure operational reliability at scale.
• Take part in and manage on-call rotations across continents, using a follow-the-sun model.

Qualifications

Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  
• 8 years of experience with software development in one or more programming languages.
  
• 3 years of experience managing people or teams.
  
• 3 years of experience leading projects.
  
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.

Preferred qualifications:

• Master's degree in Computer Science or Engineering.
  
• Experience working in an agile software development environment.
  
• Familiarity with Site Reliability Engineering (SRE) or Production Engineering practices, such as managing system reliability, uptime, and performance, as well as on-call and incident-response.
  
• Familiarity with high-scale container orchestration fleet operations (e.g., GKE/Kubernetes) or specialized AI/ML compute infrastructure management involving GPUs, TPUs, or model-serving performance optimization.
• Familiarity with security engineering, platform hardening, or data privacy protocols in large-scale environments.