Cloud Software Engineer Jobs in San Francisco, CA
Cloud software engineer jobs in San Francisco concentrate in fintech, enterprise SaaS, and AI infrastructure, with the heaviest hiring in SoMa, the Financial District, and Mission Bay. Employers actively hiring right now include Google, OpenAI, and Deloitte. See the openings below and apply to the ones that match your experience.
Find Cloud Software Engineer JobsOverview
Showing 5 of 23+ Cloud Software Engineer jobs
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
- 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal etc.) or with GenAI-related concepts.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
- Experience in building and deploying Agentic AI systems.
- Experience in security domains.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Our team is at the forefront of revolutionizing Google Security Operations (SecOps) through the power of artificial intelligence. We are developing a Security Agentic Platform to enable the development of first-party and third-party security agents to deliver a proactive, intelligent, and automated Agentic Security Operations Center (SoC).
In this role, you will lead a team of talented engineers in building the next generation of Security Agentic AI platforms and systems that will protect major organizations worldwide.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Guide, mentor, and grow a team of engineers focused on developing and deploying agentic AI for security that will power the Google Unified Security products.
- Manage the technical goal and strategy for the Security Agentic AI, ensuring alignment with the broader security teams.
- Collaborate with cross-functional engineering teams along with product management, data science, and security engineering to define product requirements and roadmaps, and deliver features.
- Oversee the end-to-end development lifecycle, from ideation and design to implementation, testing, and deployment of AI-driven agentic security solutions.
- Foster a culture of innovation and continuous improvement, staying abreast of the latest advancements in AI, machine learning, and cybersecurity.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
- 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal etc.) or with GenAI-related concepts.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
- Experience in building and deploying Agentic AI systems.
- Experience in security domains.
About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Our team is at the forefront of revolutionizing Google Security Operations (SecOps) through the power of artificial intelligence. We are developing a Security Agentic Platform to enable the development of first-party and third-party security agents to deliver a proactive, intelligent, and automated Agentic Security Operations Center (SoC).
In this role, you will lead a team of talented engineers in building the next generation of Security Agentic AI platforms and systems that will protect major organizations worldwide.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Guide, mentor, and grow a team of engineers focused on developing and deploying agentic AI for security that will power the Google Unified Security products.
- Manage the technical goal and strategy for the Security Agentic AI, ensuring alignment with the broader security teams.
- Collaborate with cross-functional engineering teams along with product management, data science, and security engineering to define product requirements and roadmaps, and deliver features.
- Oversee the end-to-end development lifecycle, from ideation and design to implementation, testing, and deployment of AI-driven agentic security solutions.
- Foster a culture of innovation and continuous improvement, staying abreast of the latest advancements in AI, machine learning, and cybersecurity.
See All 23 Cloud Software Engineer Jobs in San Francisco
Find roles in San Francisco that match your experience and apply in just a few clicks.
Find Cloud Software Engineer JobsCloud Software Engineer Job Market in San Francisco
Who's Hiring
- Google6
- OpenAI2
- Deloitte2
- Anthropic2
- Brex1
Top Industries Hiring
- Technology & Software15
- Artificial Intelligence7
- Science & Research3
- Accounting & Auditing2
- Banking & Financial Services2
Cloud Software Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a cloud software engineer job in San Francisco?
Target fintech firms in the Financial District, enterprise SaaS companies in SoMa, and AI and infrastructure startups in Mission Bay, where cloud engineering hiring runs deepest. Hands-on experience with distributed systems, Kubernetes, and multi-cloud environments sets candidates apart in this market. Contributing to open-source projects and building a public portfolio on GitHub carries real weight with San Francisco hiring teams.
Which companies hire cloud software engineers in San Francisco?
Companies currently hiring cloud software engineers in San Francisco include Google, OpenAI, and Deloitte, per current listings on Migrate Mate as of June 2026. San Francisco's mix of public tech companies, venture-backed startups, and financial services firms means cloud engineering roles appear across a wide range of team sizes and product stages.
Are there remote cloud software engineer jobs in San Francisco?
Yes, cloud software engineering is one of the more remote-friendly technical disciplines because the work is infrastructure-level and tool-mediated rather than tied to physical hardware or a single office. About 29% of cloud software engineer openings tied to San Francisco are remote or hybrid as of June 2026, reflecting how distributed many Bay Area engineering teams have become. Roles focused on platform engineering, DevOps automation, and cloud architecture tend to have the most flexibility.
How can I get a cloud software engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is landing a cloud support or junior DevOps role at a mid-size SaaS company in SoMa or a cloud-native startup in Mission Bay, then moving into full engineering. San Francisco employers at this level look for AWS, Azure, or Google Cloud certifications, familiarity with Terraform or infrastructure-as-code tools, and evidence of hands-on project work. Associate site reliability engineer and cloud operations analyst roles frequently serve as stepping stones.
Which industries hire the most cloud software engineers in San Francisco?
San Francisco cloud software engineer roles concentrate in Technology & Software, Artificial Intelligence, and Science & Research, based on current listings on Migrate Mate as of June 2026. San Francisco's density of fintech platforms requiring scalable payment infrastructure, enterprise SaaS companies modernizing legacy systems, and AI startups building on cloud compute creates consistent demand across all three sectors.
Related Jobs in California
See All 23 Cloud Software Engineer Jobs in San Francisco
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