E-3 Visa Site Reliability Engineer Jobs
Site Reliability Engineer roles qualify for E-3 visa sponsorship as specialty occupations under DOL's software and systems engineering classifications. Australian SREs can secure employer sponsorship without entering an H-1B lottery, with visa periods renewable in two-year increments. Your degree in computer science, software engineering, or a related field anchors the application.
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Get Access To All JobsINTRODUCTION
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.
As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.
ROLE AND RESPONSIBILITIES:
- Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
- Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
- Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
- Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
- Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
- Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
- Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
- Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
- Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
- Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.
BASIC QUALIFICATIONS:
- 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
- BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
- Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
- Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
- Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
- Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
- Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
- Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
- A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
- Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.
PREFERRED QUALIFICATIONS:
- Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
- Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
- Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
- Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
- Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline focused on designing, building, and operating large-scale production systems with exceptional efficiency, resilience, and availability. It combines software and systems engineering practices with deep expertise across distributed systems, networking, cloud infrastructure, Kubernetes, databases, capacity management, continuous delivery, and observability. SRE at NVIDIA ensures that our internal and external services achieve their reliability and performance objectives while enabling developers to deliver changes safely and rapidly. Our engineers automate repetitive operational work, improve system performance, build scalable platforms, and continuously strengthen the reliability of production environments.
As a Principal SRE, you will shape the technical direction of NVIDIA’s AI Platform Runtime and lead reliability engineering initiatives spanning multiple organizations. You will solve complex, ambiguous problems at enterprise scale, establish architectural standards, and influence how teams design and operate critical AI-powered services. You will also advance the use of AI agents and skills to transform platform operations and developer productivity. Our SRE culture values intellectual curiosity, diversity of thought, collaboration, and learning through blameless analysis. We encourage engineers to think boldly, take thoughtful risks, and lead meaningful improvements across organizational boundaries.
ROLE AND RESPONSIBILITIES:
- Define and drive the long-term technical vision, architecture, and roadmap for reliability across NVIDIA’s AI Platform Runtime and related enterprise systems.
- Architect highly available, resilient, secure, and scalable distributed platforms that power NVIDIA’s next-generation AI-driven products and services.
- Lead the design and development of AI agents, AI skills, and intelligent automation that accelerate platform operations, incident response, troubleshooting, and remediation.
- Establish platform-wide reliability standards, including service-level objectives, error budgets, capacity models, resilience patterns, and operational readiness requirements.
- Identify systemic risks and lead cross-functional programs that improve availability, scalability, performance, security, and developer productivity.
- Advance observability across complex distributed environments through OpenTelemetry, metrics, logs, traces, profiling, analytics, and automated anomaly detection.
- Partner with senior leaders and engineers across Cloud, Platform, Security, Networking, and AI/ML organizations to make high-impact architectural and investment decisions.
- Provide technical leadership during critical incidents and ensure that lessons from incidents translate into durable engineering and organizational improvements.
- Develop reference architectures, shared platform capabilities, and automation frameworks that can be adopted across multiple engineering organizations.
- Influence, mentor, and raise the technical bar for senior engineers and technical leaders throughout the company.
BASIC QUALIFICATIONS:
- 15+ years of experience in Site Reliability Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or related infrastructure engineering roles.
- BS or MS degree in Computer Science or a related technical field involving significant software development, or equivalent experience.
- Demonstrated experience setting technical strategy and leading large-scale engineering initiatives across multiple teams or organizations.
- Deep expertise in distributed systems architecture, networking, Linux, Kubernetes, and public cloud platforms such as AWS, Azure, or GCP.
- Strong proficiency in one or more programming languages such as Python, Go, TypeScript, JavaScript, or Java, with experience building production-grade automation and platform software.
- Extensive experience with infrastructure-as-code and platform automation technologies such as Terraform, Crossplane, AWS CDK, AWS CloudFormation, or equivalent tools.
- Deep understanding of observability at scale, including OpenTelemetry and modern metrics, logging, tracing, profiling, and analytics platforms.
- Expertise in reliability engineering practices, including service-level objectives, error budgets, capacity planning, fault tolerance, disaster recovery, incident management, and blameless postmortems.
- A track record of delivering measurable improvements in availability, performance, operational efficiency, or engineering productivity within complex environments.
- Outstanding technical judgment, communication, and collaboration skills, with the ability to influence senior stakeholders across technical and organizational boundaries.
PREFERRED QUALIFICATIONS:
- Experience designing or operating large-scale AI/ML platforms, GPU infrastructure, inference systems, training environments, or high-performance computing platforms.
- Hands-on experience building AI agents, agentic workflows, or intelligent automation for infrastructure and production operations.
- Demonstrated success establishing reliability architecture and engineering standards adopted across a large enterprise.
- Experience applying machine learning, analytics, or advanced automation to capacity management, anomaly detection, incident response, or autonomous remediation.
- Recognized technical leadership through patents, publications, open-source contributions, industry standards, conference presentations, or widely adopted internal platforms.
COMPENSATION
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 248,000 USD - 396,750 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 12, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
See all 197+ E-3 Visa Site Reliability Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Site Reliability Engineer
Frame your CV around U.S. SRE conventions
Australian CVs often emphasise tenure over measurable outcomes. Reframe yours around incident reduction rates, on-call load metrics, and infrastructure scale to match what U.S. hiring managers expect from SRE candidates at offer stage.
Target companies with active LCA filing history
Employers who have filed Labor Condition Applications for software or systems engineering roles in the past two years are already set up to sponsor E-3 visas. Search DOL's OFLC disclosure data to identify them before applying.
Clarify E-3 eligibility early in recruiter conversations
Many U.S. recruiters conflate E-3 with H-1B and assume a lottery is involved. Tell them upfront that E-3 has no cap, no lottery, and requires only an LCA and consular appointment, so sponsorship concerns don't kill your candidacy before an offer.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. The LCA must be certified by DOL before your consular appointment, and errors at this stage delay or void the application.
Verify your degree field maps to the SRE job description
DOL requires your degree to relate directly to the role. A computer science or software engineering degree aligns cleanly. If your degree is in a different field, document how your coursework or three-to-one work experience equivalency supports the specialty occupation classification.
Prepare for consular questions on employer relationship and duties
Consular officers at Sydney, Melbourne, and Perth routinely ask SRE applicants to explain their specific on-call responsibilities, team structure, and how the role requires a specialised degree. Prepare concrete answers tied to your offer letter and LCA job description.
E-3 Visa Site Reliability Engineer: Frequently Asked Questions
How do I find Site Reliability Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically to surface SRE roles where employers are open to E-3 sponsorship, filtering out listings that require existing U.S. work authorization. Because E-3 requires employer action before your consular appointment, targeting employers already familiar with the LCA process saves significant time and reduces the risk of an offer falling through.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does an SRE role qualify as a specialty occupation for the E-3 visa?
Yes. Site Reliability Engineer roles fall under DOL's software and systems engineering occupational classifications, which consistently meet the specialty occupation standard. The role must normally require at least a bachelor's degree in computer science, software engineering, or a directly related field, and your job description must reflect that requirement rather than treating a degree as a preference.
How does the E-3 visa compare to the H-1B for SRE roles?
For Australian SREs, the E-3 is almost always the better path. There is no annual lottery, no cap to exhaust, and the employer can initiate the process immediately after making an offer. H-1B selection is randomised and capped at 85,000 per fiscal year, meaning qualified candidates are routinely excluded regardless of their qualifications or the strength of the sponsoring employer.
Can I change SRE employers while on an E-3 visa?
Yes, but each new employer must file a fresh LCA and you must obtain a new E-3 visa stamp at a consulate before starting work, unless you qualify for a change of status inside the U.S. You cannot port an E-3 to a new employer the way some other visa categories allow. Plan for a consular appointment gap between roles.