Site Reliability Engineer Jobs in San Jose, CA
Site Reliability Engineer jobs in San Jose are concentrated in North San Jose, Downtown, and the Santana Row corridor, with strong demand across cloud infrastructure, enterprise software, and semiconductor platforms. The market is active, and employers ranging from hyperscalers to growth-stage startups are hiring, including TikTok USDS Joint Venture, TikTok, and ByteDance. See the openings below and apply to the ones that match your experience.
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Showing 5 of 196+ Site Reliability Engineer jobs
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience building and developing infrastructure or distributed systems.
- 5 years of experience programming in C++ or Go.
- 5 years of experience with reliability or quality engineering.
- 5 years of experience working in distributed systems and distributed computing.
- Experience with cross-functional collaboration and stakeholder management.
Preferred qualifications:
- Master's degree in Computer Science or a related technical field.
- Experience in a Site Reliability Engineering role.
- Experience in designing, analyzing and troubleshooting large-scale distributed systems.
- Experience with database systems, query language design, and optimization.
- Ability to create clean and scalable designs.
- Ability to apply a systematic problem-solving approach, with excellent communication skills and a sense of ownership and motivation.
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 Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.
F1 Query is a team under AI Foundations organization. F1 Query is a planet-scale high-performance distributed GoogleSQL-compliant federated query engine. It supports querying nearly any type of data source in common use at Google. F1 Query powers over 400 production systems across Ads, Finance, Play, Cloud, YouTube, Google DeepMind and Enterprise AI, and helps users address various ad-hoc and low-latency data processing, serving, investigative, and batch use cases.
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 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify opportunities, and design and lead the implementation of solutions to enhance the reliability of systems that support F1.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Collaborate across multiple teams to provide in-team leadership for Product Area and to drive the adoption of solutions that improve reliability for multiple teams.
- Engage in software engineering on services written in Java, C++, and Go (including instrumenting client software development kita (SDKs), server-side performance changes, capacity planning, experiments, monitoring, and more), and performance enhancement of existing systems.
- Advise and influence our developer partners on next-generation architecture and implementation for new systems.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience building and developing infrastructure or distributed systems.
- 5 years of experience programming in C++ or Go.
- 5 years of experience with reliability or quality engineering.
- 5 years of experience working in distributed systems and distributed computing.
- Experience with cross-functional collaboration and stakeholder management.
Preferred qualifications:
- Master's degree in Computer Science or a related technical field.
- Experience in a Site Reliability Engineering role.
- Experience in designing, analyzing and troubleshooting large-scale distributed systems.
- Experience with database systems, query language design, and optimization.
- Ability to create clean and scalable designs.
- Ability to apply a systematic problem-solving approach, with excellent communication skills and a sense of ownership and motivation.
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 Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.
F1 Query is a team under AI Foundations organization. F1 Query is a planet-scale high-performance distributed GoogleSQL-compliant federated query engine. It supports querying nearly any type of data source in common use at Google. F1 Query powers over 400 production systems across Ads, Finance, Play, Cloud, YouTube, Google DeepMind and Enterprise AI, and helps users address various ad-hoc and low-latency data processing, serving, investigative, and batch use cases.
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 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify opportunities, and design and lead the implementation of solutions to enhance the reliability of systems that support F1.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Collaborate across multiple teams to provide in-team leadership for Product Area and to drive the adoption of solutions that improve reliability for multiple teams.
- Engage in software engineering on services written in Java, C++, and Go (including instrumenting client software development kita (SDKs), server-side performance changes, capacity planning, experiments, monitoring, and more), and performance enhancement of existing systems.
- Advise and influence our developer partners on next-generation architecture and implementation for new systems.
See All 196+ Site Reliability Engineer Jobs in San Jose
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Find JobsSite Reliability Engineer Job Market in San Jose
Who's Hiring
- TikTok USDS Joint Venture49
- TikTok39
- ByteDance39
- Lambda29
- Bitdeer Technologies20
Top Industries Hiring
- Technology & Software69
- Social Media10
- Media & Entertainment10
- Electronics & Hardware10
- Consulting & Professional Services10
Site Reliability Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a site reliability engineer job in San Jose?
Focus your search on North San Jose's dense tech campus cluster and Downtown's growing enterprise software presence, where cloud-native and platform engineering roles are most active. Hands-on experience with Kubernetes, Terraform, or observability tooling gives candidates a clear edge in this market. Targeting mid-size SaaS companies and semiconductor firms alongside larger hyperscalers broadens your options and often means faster hiring timelines.
Which companies hire site reliability engineers in San Jose?
Employers hiring site reliability engineers in San Jose right now include TikTok USDS Joint Venture, TikTok, and ByteDance, based on current listings on Migrate Mate as of August 2026. San Jose draws a wide range of employer types, from global semiconductor and networking companies to venture-backed cloud infrastructure startups, giving candidates options across company size and tech stack.
Are there remote site reliability engineer jobs in San Jose?
Yes, though many roles require at least some on-site presence for incident response and infrastructure access. About 14% of site reliability engineer openings tied to San Jose are remote or hybrid as of August 2026, reflecting the broader shift toward flexible arrangements in platform and cloud roles. Automation-heavy and monitoring-focused positions tend to be the most remote-eligible among San Jose employers.
How can I get a site reliability engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is through a junior DevOps or infrastructure engineer role at a mid-size SaaS or cloud services company, where scope is broad enough to build SRE skills quickly. Earning certifications in Google Cloud, AWS, or Linux systems strengthens your profile for local employers who hire emerging talent. Contract and rotational positions at San Jose-area technology firms also open doors for candidates building their first production experience.
Which industries hire the most site reliability engineers in San Jose?
The sectors hiring the most site reliability engineers in San Jose are Technology & Software, Social Media, and Media & Entertainment, based on current listings on Migrate Mate as of August 2026. San Jose's identity as a hub for semiconductor design, enterprise networking, and cloud-native software means demand for reliability engineering talent runs deep across both hardware-adjacent and pure software employers.
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