Development Engineer Jobs at Google with Visa Sponsorship
Development Engineer jobs at Google sit at the intersection of software infrastructure and large-scale systems work, covering everything from distributed systems to developer tooling. Google has a well-established sponsorship process for this function, supporting H-1B visa, H-1B1 visa, and E-3 visa pathways for qualified engineers.
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Get Access To All JobsINTRODUCTION
Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.
Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.
Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.
EDACloud is a large, complex service that requires high availability. In this role, you will maintain a high uptime, especially doing it in a way that allows for the growth we're seeing. Planning, attention to detail, and a healthy amount of paranoia are needed for success.
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 team 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.
The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
- 3 years of experience with systems automation, and with systems design and implementation.
- 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).
- 3 years of experience with troubleshooting across Linux and networking.
PREFERRED QUALIFICATIONS
- 5 years of experience with Linux operating systems internals and administration, technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure.
- 3 years of experience with one or more programming/scripting languages (Go, Python, Bash).
- 3 years of experience in cloud systems design.
- Experience in large scale environments, server virtualization, deployments and automation/configuration management, networking, and security fundamentals.
- Excellent communication, people management, problem-solving, and presentation skills.
- Passion for technology and delivering exceptional user experiences.
Responsibilities
- Troubleshoot technical issues, evaluate technical data, and develop recommendations for systems and services within the domain, respond to tickets/bugs within team-defined service-level objectives (SLOs), and contribute to systems and services in related domains through bug reports and consultation.
- Improve operations work and reduce support toil by proposing and implementing automation and process improvements.
- Scale systems sustainably through mechanisms like automation. Evolve systems by pushing for changes that improve reliability and velocity.
- Work with customers and developers on defining distributed systems requirements, testing procedures, and proposing solutions.
- Participate in limited on-call rotation and monitoring of production distributed computing infrastructure.
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
Systems Development Engineering (SDE) at Google is a role where you manage services and systems at scale. SDEs creatively put their engineering discipline to use automating the mundane and reducing toil. We don’t just write code to fix bugs, but emphasize the development of tools and solutions that fix classes of problems. We know it’s hard to control what you can’t measure – so we focus on observability: instrumenting first, then turning data into knowledge, and finally knowledge into action. We know that the operational efficiency of Google systems, services, virtual compute environments and the operating systems that power them impact the environment, not just the bottom line. We know that working together we can do more, and that community matters.
Google brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow.
Together we engineer and build the infrastructure, tools, access and telemetry for systems that enable orchestration of Google-scale services. Come build things that matter.
EDACloud is a large, complex service that requires high availability. In this role, you will maintain a high uptime, especially doing it in a way that allows for the growth we're seeing. Planning, attention to detail, and a healthy amount of paranoia are needed for success.
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 team 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.
The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.
- 3 years of experience with systems automation, and with systems design and implementation.
- 3 years of experience with technical infrastructure (e.g., deployment, maintenance, troubleshooting).
- 3 years of experience with troubleshooting across Linux and networking.
PREFERRED QUALIFICATIONS
- 5 years of experience with Linux operating systems internals and administration, technical infrastructure (e.g., deployment, maintenance, troubleshooting), and with reliability of technical infrastructure.
- 3 years of experience with one or more programming/scripting languages (Go, Python, Bash).
- 3 years of experience in cloud systems design.
- Experience in large scale environments, server virtualization, deployments and automation/configuration management, networking, and security fundamentals.
- Excellent communication, people management, problem-solving, and presentation skills.
- Passion for technology and delivering exceptional user experiences.
Responsibilities
- Troubleshoot technical issues, evaluate technical data, and develop recommendations for systems and services within the domain, respond to tickets/bugs within team-defined service-level objectives (SLOs), and contribute to systems and services in related domains through bug reports and consultation.
- Improve operations work and reduce support toil by proposing and implementing automation and process improvements.
- Scale systems sustainably through mechanisms like automation. Evolve systems by pushing for changes that improve reliability and velocity.
- Work with customers and developers on defining distributed systems requirements, testing procedures, and proposing solutions.
- Participate in limited on-call rotation and monitoring of production distributed computing infrastructure.
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.
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Get Access To All JobsTips for Finding Development Engineer Jobs at Google
Align your resume to Google's leveling system
Google evaluates Development Engineers against internal levels tied to systems design depth and coding scope. Frame your resume around scale metrics and infrastructure ownership, not just feature delivery, so recruiters can map your background to the right level before screening.
Prepare for Google's technical interview format early
Google's hiring loop for Development Engineers typically spans four to six rounds covering data structures, algorithms, and system design. Practicing these categories months before applying gives you time to address gaps without timeline pressure from an expiring OPT or grace period.
Target roles under Google's sponsored visa categories
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Development Engineers. If you hold Australian citizenship or are from Singapore or Chile, check whether the E-3 or H-1B1 pathway applies, since neither requires surviving the H-1B lottery.
Understand Google's cap-exempt hiring timeline
If you're transitioning from OPT or CPT, Google's offer and filing timelines need to align with your authorization window. USCIS allows premium processing for H-1B petitions, which can reduce adjudication to around 15 business days if your start date is urgent.
Use Migrate Mate to filter open Development Engineer roles
Many sponsorship-eligible roles aren't labeled clearly in job listings. Use Migrate Mate to browse verified Development Engineer openings at Google filtered by visa type, so you're applying to positions that match your specific authorization pathway.
Confirm Labor Condition Application details before accepting an offer
Google files an LCA with the DOL before submitting your H-1B petition. Verify that the LCA's job title, worksite location, and wage level accurately reflect your actual role, since discrepancies between the LCA and petition can trigger a Request for Evidence.
Frequently Asked Questions
Does Google sponsor H-1B visas for Development Engineers?
Yes, Google sponsors H-1B visas for Development Engineers. The process begins after you receive and accept an offer, with Google's immigration team filing the Labor Condition Application with the DOL and then submitting the H-1B petition to USCIS. Cap-subject filings are tied to the annual April lottery, so your offer timing affects when work authorization begins.
Which visa types does Google sponsor for Development Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for Development Engineers. H-1B is the most common pathway for most nationalities. Australian citizens can pursue the E-3, which has no lottery and a separate annual allocation. Nationals of Singapore and Chile may qualify for the H-1B1, which also bypasses the H-1B lottery.
What qualifications does Google expect for Development Engineer positions?
Google generally expects a bachelor's degree or higher in computer science, software engineering, or a closely related field for Development Engineer roles. Strong fundamentals in algorithms, data structures, and systems design are assessed in interviews. Experience with distributed systems, large-scale infrastructure, or internal developer tooling is relevant depending on the specific team.
How do I apply for Development Engineer jobs at Google?
You can browse and apply for Development Engineer roles at Google through Migrate Mate, which filters listings by visa sponsorship type so you can identify positions that match your authorization pathway. Once you apply, Google's process typically involves a recruiter screen, a technical phone interview, and a full on-site or virtual loop covering coding and systems design.
How do I plan my timeline for Google's H-1B sponsorship process?
Google files H-1B petitions in early April for the annual cap, with an October 1 start date for selected petitions. If you're on OPT, confirm your expiration date allows enough runway to complete the interview process and receive an offer before the filing window. Premium processing is available if you need faster adjudication after selection.