H-1B Visa Site Reliability Engineer Jobs
Site Reliability Engineer roles qualify as H-1B specialty occupations under the computer occupations category, requiring at least a bachelor's degree in computer science, software engineering, or a related field. SRE positions at cloud-native and enterprise employers consistently rank among the highest H-1B LCA filing volumes, with cap-subject petitions filed each April for October start dates.
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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, SREs will keep an ever-watchful eye on our systems capacity and performance.
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization 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. Based in Seattle and London, we manage Google Cloud Engine (GCE) AI/ML workloads and the critical infrastructure powering them.
As a Site Reliability Engineer (SREs) you will deliver a seamless customer experience. You will act as a first responder for AI workload health and customer-facing issues. You will build and support capabilities for managing ML workloads and influence architecture, standards, and operational methods for AI services. You will develop advanced monitoring and alerting to improve GCE visibility and collaborate with development teams on novel, emerging technologies. 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.
Responsibilities
- Act as a first responder for AI workload health and customer-facing issues. Build and support capabilities for managing ML workloads.
- Influence architecture, standards, and operational methods for AI services.
- Develop advanced monitoring and alerting to improve GCE visibility.
- Collaborate with development teams on novel, emerging technologies.
- Bridge the gap between the infrastructure and AI.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience working on cloud distributed systems that demand scalability, reliability, throughput and low latency.
- 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
- 2 years of experience with debugging and troubleshooting software issues.
Preferred qualifications:
- Master's degree in a technical field or equivalent practical experience.
- Experience designing, analyzing and troubleshooting large-scale distributed systems.
- Experience designing and developing software oriented towards systems or network automation.
- Understanding of Unix/Linux operating systems.
- Ability to debug, optimize code, and to automate routine tasks.
- Excellent problem-solving and communication skills.
Compensation
The US base salary range for this full-time position is $174,000-$252,000 + 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.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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.
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, SREs will keep an ever-watchful eye on our systems capacity and performance.
Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. SRE's culture of intellectual curiosity, problem solving and openness is key to its success. Our organization 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. Based in Seattle and London, we manage Google Cloud Engine (GCE) AI/ML workloads and the critical infrastructure powering them.
As a Site Reliability Engineer (SREs) you will deliver a seamless customer experience. You will act as a first responder for AI workload health and customer-facing issues. You will build and support capabilities for managing ML workloads and influence architecture, standards, and operational methods for AI services. You will develop advanced monitoring and alerting to improve GCE visibility and collaborate with development teams on novel, emerging technologies. 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.
Responsibilities
- Act as a first responder for AI workload health and customer-facing issues. Build and support capabilities for managing ML workloads.
- Influence architecture, standards, and operational methods for AI services.
- Develop advanced monitoring and alerting to improve GCE visibility.
- Collaborate with development teams on novel, emerging technologies.
- Bridge the gap between the infrastructure and AI.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience working on cloud distributed systems that demand scalability, reliability, throughput and low latency.
- 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
- 2 years of experience with debugging and troubleshooting software issues.
Preferred qualifications:
- Master's degree in a technical field or equivalent practical experience.
- Experience designing, analyzing and troubleshooting large-scale distributed systems.
- Experience designing and developing software oriented towards systems or network automation.
- Understanding of Unix/Linux operating systems.
- Ability to debug, optimize code, and to automate routine tasks.
- Excellent problem-solving and communication skills.
Compensation
The US base salary range for this full-time position is $174,000-$252,000 + 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.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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 H-1B Visa Sponsorship as a Site Reliability Engineer
Verify your SOC code before applying
SRE roles are filed under multiple SOC codes depending on the employer. Check the O*NET occupation profile for Software Developers and Computer Systems Analysts to confirm which code aligns with your actual duties before your employer files the LCA.
Target employers with cap-exempt status
Universities, nonprofit research institutions, and certain government entities are cap-exempt and can file H-1B petitions year-round. SRE roles at these organizations bypass the April lottery window entirely, giving you a faster and more predictable path to status.
Search LCA-verified SRE employers on Migrate Mate
Filter by Site Reliability Engineer roles on Migrate Mate to see employers with confirmed H-1B LCA filing history. This cuts out employers who claim to sponsor but have no DOL filing record to back it up.
Align your title to prevailing wage level early
Employers file LCAs at wage levels I through IV. If your offer is at Level I but your duties match Level III, USCIS may issue an RFE. Use the OFLC Wage Search before your final offer to confirm the wage level fits your responsibilities.
Document on-call and incident response duties precisely
SRE petitions sometimes receive RFEs when job descriptions read as general IT support rather than specialty occupation work. Your offer letter and support documents should specify SLO management, production infrastructure ownership, and systems design to satisfy the specialty occupation standard.
Request premium processing if your start date is fixed
USCIS premium processing guarantees a response within 15 business days. For SRE roles with a hard project start date or a team dependency, premium processing reduces the risk of a delayed adjudication pushing your onboarding past the October 1 cap date.
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Find Site Reliability Engineer JobsSite Reliability Engineer H-1B Visa: Frequently Asked Questions
Does a Site Reliability Engineer role qualify as an H-1B specialty occupation?
Yes. SRE positions qualify because they require at least a bachelor's degree in computer science, software engineering, systems engineering, or a directly related field. USCIS evaluates whether the specific duties, not just the job title, meet the specialty occupation standard. Roles focused on production reliability, infrastructure automation, and SLO design consistently clear this bar.
How do I find employers who have actually sponsored H-1B visas for SRE roles?
Search on Migrate Mate, which surfaces employers with verified H-1B LCA filing history filtered by role. You can identify which companies have a track record of filing for SRE and adjacent titles, rather than relying on job postings that mention sponsorship without any DOL filing record to confirm it.
Can I switch to an SRE role from a different H-1B job title mid-status?
Yes, but your employer must file an amended H-1B petition if the new role represents a material change in duties, location, or SOC code. A move from software engineer to SRE at the same company typically triggers an amendment because the job description and prevailing wage level may differ. USCIS allows you to start the new role once the amended petition is filed, not necessarily approved.
What happens to my H-1B if I'm laid off from an SRE position?
You have a 60-day grace period after your last day of employment to find a new sponsor, change status, or depart the U.S. During those 60 days you're not authorized to work. A new employer can file an H-1B transfer petition and you can begin working once USCIS receives it, using portability under AC21 if your prior petition has been pending or approved for 180 days or more.
Do SRE roles at cloud companies typically qualify for H-1B cap exemption?
Not usually. Cap exemption applies to employers that are institutions of higher education, affiliated nonprofit entities, or nonprofit or government research organizations, not to private cloud or technology companies regardless of size. SRE roles at most commercial employers are cap-subject, meaning your petition must be filed during the April registration window for an October start.
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