Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both internally critical and externally-visible systems—have reliability, uptime appropriate to customer's needs, and a fast rate of improvement. SRE’s focus on optimizing existing systems, building infrastructure, and eliminating work through automation. On the SRE team, you will manage complex challenges of scale unique to Google Cloud, using expertise in coding, algorithms, complexity analysis, and large-scale system design. The culture emphasizes intellectual curiosity, problem solving, openness, collaboration, and self-direction, with support and mentorship for learning and growth. PSS SRE provides the indispensable security and compliance bedrock for Google's infrastructure, pioneering production safety baselines for rapid agentic scaling and scaling localized authorization to support AI innovation and business growth.
Tasks
- Engage in and improve the whole lifecycle of services from inception and design, through to deployment, operation, and refinement.
- Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
- Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Practice sustainable incident response and blameless postmortems.
Requirements
- 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.
- 4 years of experience leading projects and providing technical leadership.
- 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
- Master's degree in Computer Science or Engineering (preferred).
- Experience with large-scale distributed systems (preferred).
- Experience in Generative AI Agent and Machine Learning (preferred).
- Experience in Trust and Safety operations (preferred).
Bist du Teil dieses Unternehmens?
Dieses Unternehmensprofil wurde automatisch erstellt. Wenn du für Google Switzerland arbeitest, kannst du das Profil jetzt beanspruchen und verifizieren – kostenlos und in wenigen Minuten.
Über uns
Das Team
The organization brings together people with a wide variety of backgrounds, experiences, and perspectives, encouraging collaboration, big thinking, and risk-taking in a blame-free environment. The team promotes self-direction on meaningful projects and provides support and mentorship for learning and growth.