Engineering Technician Jobs at Google with Visa Sponsorship
Engineering Technician jobs at Google sit at the intersection of hands-on hardware work and large-scale systems, supporting everything from data center infrastructure to device testing. Google has a well-established sponsorship process for this function, making it a realistic path for qualified candidates on H-1B visa, H-1B1 visa, or E-3 visas.
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Get Access To All JobsINTRODUCTION
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.
As the Manager of the Data Residency team, you will drive the strategy for Google Cloud Platform (GCP’s) data location governance, a critical pillar of Google Cloud's compliance guarantees. Collaborating across Cloud, TI, and Core, you will deliver preventative and monitoring solutions to ensure continuous compliance. You will contribute directly to FastCompliance, our next-generation self-service platform, leveraging generative AI (including chat and code generation) to advocate shift-left initiatives and streamline on-boarding. We are looking for a collaborative leader familiar with Google infrastructure who can apply generative AI to deliver stable, predictable outcomes alongside partners Google-wide.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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.
ROLE AND RESPONSIBILITIES
- Lead, mentor, and scale a high-performing team of 8 engineers, setting the technical direction and fostering a collaborative culture focused on data residency and compliance.
- Oversee the architecture and optimization of high-throughput batch pipelines capable of scanning hundreds of billions of objects daily, ensuring maximum coverage and violation blocking with a minimal resource footprint.
- Drive the integration of generative AI into the software development lifecycle (including design reviews, code reviews, and code generation) to proactively catch compliance issues early.
- Own the end-to-end automation, policy verification, and governance of GCP regional and multi-regional endpoints, utilizing generative AI to streamline service turn-up.
- Design generalized, resilient architectural solutions that simplify and accelerate compliance onboarding for the GCP producer teams, successfully balancing standard frameworks with service-specific exceptions.
MINIMUM QUALIFICATIONS
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in designing and developing large-scale distributed systems.
- 5 years of experience in Cloud building or operating large-scale, managed services.
- 3 years of experience in a people management managing software engineering reports.
- 2 years of experience building Generative AI agents.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or a related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience with compliance and security.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
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.
As the Manager of the Data Residency team, you will drive the strategy for Google Cloud Platform (GCP’s) data location governance, a critical pillar of Google Cloud's compliance guarantees. Collaborating across Cloud, TI, and Core, you will deliver preventative and monitoring solutions to ensure continuous compliance. You will contribute directly to FastCompliance, our next-generation self-service platform, leveraging generative AI (including chat and code generation) to advocate shift-left initiatives and streamline on-boarding. We are looking for a collaborative leader familiar with Google infrastructure who can apply generative AI to deliver stable, predictable outcomes alongside partners Google-wide.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
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.
ROLE AND RESPONSIBILITIES
- Lead, mentor, and scale a high-performing team of 8 engineers, setting the technical direction and fostering a collaborative culture focused on data residency and compliance.
- Oversee the architecture and optimization of high-throughput batch pipelines capable of scanning hundreds of billions of objects daily, ensuring maximum coverage and violation blocking with a minimal resource footprint.
- Drive the integration of generative AI into the software development lifecycle (including design reviews, code reviews, and code generation) to proactively catch compliance issues early.
- Own the end-to-end automation, policy verification, and governance of GCP regional and multi-regional endpoints, utilizing generative AI to streamline service turn-up.
- Design generalized, resilient architectural solutions that simplify and accelerate compliance onboarding for the GCP producer teams, successfully balancing standard frameworks with service-specific exceptions.
MINIMUM QUALIFICATIONS
- Bachelor’s degree, or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in designing and developing large-scale distributed systems.
- 5 years of experience in Cloud building or operating large-scale, managed services.
- 3 years of experience in a people management managing software engineering reports.
- 2 years of experience building Generative AI agents.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or a related technical field.
- 3 years of experience working in a complex, matrixed organization.
- Experience with compliance and security.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all Engineering Technician Jobs at Google
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Get Access To All JobsTips for Finding Engineering Technician Jobs at Google
Align your credentials to Google's lab environment
Google's Engineering Technician roles often require documented experience with specific test equipment, PCB assembly, or hardware validation. Before applying, tailor your resume to reflect hands-on lab skills and any certifications relevant to the hardware stack Google actually ships.
Target roles tied to Google's hardware divisions
Google's Pixel, TPU, and data center teams hire Engineering Technicians on different timelines. Focusing your search on these specific hardware product lines, rather than general openings, increases your chances of landing a team that actively sponsors and has recurring headcount.
Understand which visa fits your nationality
Google sponsors H-1B, H-1B1 visa, and E-3 visas for this role. Australian citizens should pursue the E-3 path, which has no lottery and is processed year-round. Singaporean and Chilean nationals can use the H-1B1. Everyone else applies through the H-1B cap, which runs on an annual lottery cycle.
Time your application around the H-1B lottery window
If you need H-1B sponsorship, USCIS opens registration in March each year for an October 1 start date. Receiving a full-time offer from Google before February gives your recruiter enough runway to submit your registration before the cap closes.
Clarify sponsorship intent before your technical interview
Google's recruiting coordinators handle sponsorship questions separately from hiring managers. After your initial screen, ask the coordinator directly whether the specific team and location are approved to sponsor your visa type, so you're not caught off guard at the offer stage.
Browse verified Engineering Technician openings on Migrate Mate
Filtering for roles by visa type and employer saves significant time at the search stage. Migrate Mate lets you browse Engineering Technician positions at Google that are open to sponsored candidates, so you can focus your applications on openings that match your visa situation.
Frequently Asked Questions
Does Google sponsor H-1B visas for Engineering Technicians?
Yes, Google sponsors H-1B visas for Engineering Technician roles. Because the H-1B is subject to an annual cap and lottery, your offer timing matters. Google's recruiting team typically coordinates registration during the March USCIS registration window, with employment starting October 1 if selected. Roles that require a specialized degree field are more straightforwardly supported through this pathway.
How do I apply for Engineering Technician jobs at Google?
Applications go through Google's careers portal at careers.google.com, where you can filter by job family and location. Engineering Technician postings appear under Hardware Engineering or Technical Operations depending on the division. Tailoring your resume to the specific product area, such as data center infrastructure or consumer hardware, improves your chances of passing the initial screening. Migrate Mate also lists Google's sponsored openings so you can verify visa eligibility before applying.
Which visa types does Google commonly use for Engineering Technician roles?
Google uses H-1B, H-1B1 visa, and E-3 visas for Engineering Technician positions depending on the candidate's nationality. Australian citizens are eligible for the E-3, which bypasses the lottery entirely and can be filed year-round. Singaporean and Chilean nationals may qualify for the H-1B1. Most other international candidates go through the standard H-1B cap process with its annual lottery.
What qualifications does Google expect for Engineering Technician roles?
Google typically looks for an associate's degree or bachelor's degree in electrical engineering, electronics, or a related technical field, combined with hands-on experience in hardware testing, lab equipment operation, or PCB work. Familiarity with specific tools like oscilloscopes, logic analyzers, or automated test frameworks is commonly listed. Roles supporting TPU or data center teams may also require experience working within large-scale or high-voltage environments.
How do I estimate the timeline from offer to visa approval for this role?
For H-1B candidates, the process runs roughly six to nine months from offer to start date, accounting for the March registration window and an October 1 effective date. E-3 and H-1B1 visa processing is faster since both bypass the lottery and can be approved by a U.S. consulate within a few weeks of filing. USCIS premium processing is available for H-1B petitions and reduces adjudication to roughly 15 business days once the petition is filed.