Develop and drive the technical strategy and roadmap for SU SRE; mentor team members to enhance reliability and efficiency.
Lead large-scale, cross-team projects to significantly improve reliability, scalability, and performance of SU services.
Partner with development teams to influence system design and architecture; embed reliability principles throughout the development life cycle and align technical direction across teams.
Identify, analyze, and mitigate production risks; design architectural improvements for long-term health, scalability, and efficiency.
Participate in on-call rotation; respond to incidents; drive postmortem actions to prevent recurrence.

Key requirements

Develop and drive the technical strategy and roadmap for SU SRE; mentor team members to enhance reliability and efficiency.
Lead large-scale, cross-team projects to significantly improve reliability, scalability, and performance of SU services.
Partner with development teams to influence system design and architecture; embed reliability principles throughout the development life cycle and align technical direction across teams.
Identify, analyze, and mitigate production risks; design architectural improvements for long-term health, scalability, and efficiency.
Participate in on-call rotation; respond to incidents; drive postmortem actions to prevent recurrence.

Jobs at Google

35 active roles from this employer in the JobMatcher catalog.

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Jobs at Google

35 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Staff Site Reliability Engineer, Semantic Understanding Platform (SUP) – Google Cloud. Location: San Jose, United States.

Overview: Site Reliability Engineering (SRE) blends software and systems engineering to build and operate large-scale, distributed, fault-tolerant systems. SRE ensures Google Cloud's services—both internally critical and externally visible—have reliability and uptime aligned with customer needs, while enabling rapid improvement. This role focuses on the Semantic Understanding Platform (SUP), ensuring reliability, scalability, and operation of multiple services developed in collaboration with partner SWE teams.

Responsibilities

Qualifications:

Develop and drive the technical strategy and roadmap for SU SRE; mentor team members to enhance reliability and efficiency.
Lead large-scale, cross-team projects to significantly improve reliability, scalability, and performance of SU services.
Partner with development teams to influence system design and architecture; embed reliability principles throughout the development life cycle and align technical direction across teams.
Identify, analyze, and mitigate production risks; design architectural improvements for long-term health, scalability, and efficiency.
Participate in on-call rotation; respond to incidents; drive postmortem actions to prevent recurrence.
Bachelor's degree in Computer Science or related field, or equivalent practical experience.
8 years of experience in software development in one or more programming languages.
4 years of experience applying Design for Reliabilit

About the role

Staff Site Reliability Engineer, Semantic Understanding Platform (SUP) – Google Cloud. Location: San Jose, United States.

Overview: Site Reliability Engineering (SRE) blends software and systems engineering to build and operate large-scale, distributed, fault-tolerant systems. SRE ensures Google Cloud's services—both internally critical and externally visible—have reliability and uptime aligned with customer needs, while enabling rapid improvement. This role focuses on the Semantic Understanding Platform (SUP), ensuring reliability, scalability, and operation of multiple services developed in collaboration with partner SWE teams.

Responsibilities

Qualifications:

Develop and drive the technical strategy and roadmap for SU SRE; mentor team members to enhance reliability and efficiency.
Lead large-scale, cross-team projects to significantly improve reliability, scalability, and performance of SU services.
Partner with development teams to influence system design and architecture; embed reliability principles throughout the development life cycle and align technical direction across teams.
Identify, analyze, and mitigate production risks; design architectural improvements for long-term health, scalability, and efficiency.
Participate in on-call rotation; respond to incidents; drive postmortem actions to prevent recurrence.
Bachelor's degree in Computer Science or related field, or equivalent practical experience.
8 years of experience in software development in one or more programming languages.
4 years of experience applying Design for Reliabilit

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