Cloud Engineer Jobs in Sunnyvale, CA
Cloud Engineer jobs in Sunnyvale, California are in high demand, concentrated in the Murphy Avenue corridor, the Mathilda Avenue tech corridor, and the Caribbean Drive business district, across semiconductor, enterprise software, and cloud infrastructure sectors. Employers hiring right now include Google, Apple, and CrowdStrike. Scan the live roles below and apply to whichever ones fit.
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in Python or C++.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience programming in Python or C++.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
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 AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
See All 329+ Cloud Engineer Jobs in Sunnyvale
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Find Cloud Engineer JobsCloud Engineer Job Market in Sunnyvale
Who's Hiring
- Google256
- Apple18
- CrowdStrike18
- Illumio14
- CRUSOE9
Top Industries Hiring
- Technology & Software23
- Artificial Intelligence18
- Electronics & Hardware5
Cloud Engineer Jobs in Sunnyvale: Frequently Asked Questions
How do I get a cloud engineer job in Sunnyvale?
Sunnyvale's cloud engineer market centers on semiconductor firms, enterprise software companies, and networking hardware vendors clustered along Mathilda Avenue and the Caribbean Drive corridor. Hands-on experience with multi-cloud platforms, infrastructure-as-code tools, and Kubernetes carries the most weight with Sunnyvale hiring managers. Candidates who can demonstrate production-scale deployments in AWS, Azure, or Google Cloud and show familiarity with DevSecOps practices move fastest through the interview process here.
Which companies hire cloud engineers in Sunnyvale?
Sunnyvale cloud engineer roles are posted by Google, Apple, and CrowdStrike and others right now, based on current listings on Migrate Mate as of September 2026. Sunnyvale draws a mix of established semiconductor giants, networking hardware leaders, and mid-size SaaS companies, giving cloud engineers a wide range of employer sizes and tech stacks to choose from.
Are there remote cloud engineer jobs in Sunnyvale?
Yes, though it depends on the role. Cloud engineering is one of the more remote-friendly technical disciplines since infrastructure work can often be done fully online, but roles involving data center operations or on-site hardware management typically require in-person presence. About 32% of cloud engineer openings tied to Sunnyvale are remote or hybrid as of September 2026, with the most fully remote positions concentrated in platform engineering and site reliability functions.
How can I get a cloud engineer job in Sunnyvale with little or no experience?
The most realistic entry path in Sunnyvale is through a junior cloud operations or IT infrastructure role at one of the city's mid-size SaaS or networking companies, which tend to have more structured entry-level pipelines than the large semiconductor firms. Associate cloud support, cloud operations analyst, and infrastructure technician titles are common stepping stones locally. Earning a cloud certification in AWS or Google Cloud before applying gives candidates a measurable edge with Sunnyvale hiring managers who see high application volumes.
Which industries hire the most cloud engineers in Sunnyvale?
Most cloud engineer openings in Sunnyvale sit in Technology & Software, Artificial Intelligence, and Electronics & Hardware, per current listings on Migrate Mate as of September 2026. Sunnyvale's dense concentration of semiconductor manufacturers, enterprise networking vendors, and SaaS platforms creates sustained demand for cloud engineers who can manage large-scale, high-availability infrastructure across complex hybrid environments.
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