STEM OPT Site Reliability Engineer Jobs
Site Reliability Engineer roles sit squarely within STEM-eligible degree fields, making them a strong fit for the 24-month STEM OPT extension. Your employer must be enrolled in E-Verify and co-sign your I-983 training plan. With 36 months of total OPT authorization, you have a realistic runway to transition to long-term sponsorship.
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Get Access To All JobsAbout Anyscale
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
About The Role
Anyscale is looking for a Senior Site Reliability Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision. Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads. We are seeking a talented engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform. You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.
A snapshot of projects you may work on
- Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments
- Optimize control plane components for large-scale, distributed AI/ML workloads
- Build intelligent scheduling and resource management systems for heterogeneous compute clusters
- Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads
- Support and optimize accelerator integration (e.g., GPUs, TPUs)
- Handle container image management and dependency resolution for distributed workloads
- Participate in code reviews, design and architecture discussions
- Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues
- Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure
We'd love to hear from you if you have
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 3+ years of experience writing high-quality production code
- Hands-on experience in building and maintaining highly available, scalable, and performant distributed systems
- Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
- Deep understanding of networking, security, and authentication mechanisms in cloud environments
- Familiarity with observability stacks (Prometheus, Grafana etc)
- Proficiency in Go and Python
- Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
About Anyscale
At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
About The Role
Anyscale is looking for a Senior Site Reliability Engineer to join the Infrastructure team. Anyscale aims to provide the next generation of tools and infrastructure to make developing and running distributed AI applications in the cloud as easy as on your laptop. As part of the Infra team, we build the scalable, secure, and robust backbone that enables this vision. Our team is responsible for both the control plane, which orchestrates cluster management, scheduling, and user access, and the data plane, which ensures high-performance execution of distributed workloads. We are seeking a talented engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. You will play a crucial role in designing, implementing, and optimizing the critical infrastructure that powers Anyscale’s cloud platform. You will have the opportunity to work on open-source Ray, contribute to our infinite laptop proprietary product, and develop seamless integration between the two, while also delivering high-impact features for our customers.
A snapshot of projects you may work on
- Design, build, and scale services that orchestrate Ray clusters across cloud and on-prem environments, supporting both VM-based and Kubernetes-based deployments
- Optimize control plane components for large-scale, distributed AI/ML workloads
- Build intelligent scheduling and resource management systems for heterogeneous compute clusters
- Develop features to enhance the reliability, performance, scalability, and observability of Anyscale-managed Ray workloads
- Support and optimize accelerator integration (e.g., GPUs, TPUs)
- Handle container image management and dependency resolution for distributed workloads
- Participate in code reviews, design and architecture discussions
- Provide on-call support, working closely with customer and field teams to troubleshoot infrastructure issues
- Collaborate with leading distributed systems and machine learning experts to push the boundaries of AI infrastructure
We'd love to hear from you if you have
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 3+ years of experience writing high-quality production code
- Hands-on experience in building and maintaining highly available, scalable, and performant distributed systems
- Expertise in cloud-native technologies (AWS, Azure, GCP) and Kubernetes-based deployments
- Deep understanding of networking, security, and authentication mechanisms in cloud environments
- Familiarity with observability stacks (Prometheus, Grafana etc)
- Proficiency in Go and Python
- Knowledge of low-level operating system foundations (Linux kernel, file systems, containers)
Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish.
See all 56+ STEM OPT Site Reliability Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Site Reliability Engineer
Verify your CIP code matches SRE
Your STEM OPT eligibility depends on your degree's Classification of Instructional Programs code. Computer Science, Computer Engineering, and Information Systems CIP codes all support SRE roles. Cross-check your I-20 against the DHS STEM Designated Degree Program List before applying.
Confirm E-Verify enrollment before accepting offers
Only employers actively enrolled in E-Verify can legally employ STEM OPT students. Search the E-Verify employer search tool by company name before your final interview round, not after you receive an offer letter.
Build your I-983 training plan around SRE competencies
Your I-983 must list specific learning objectives tied to your STEM degree. For SRE roles, document skills like distributed systems reliability, incident response, and infrastructure automation rather than generic job duties. Your DSO reviews and approves this before your extension starts.
Target companies with active H-1B LCA filings
Employers filing Labor Condition Applications for SRE and DevOps roles have an established sponsorship process. Use Migrate Mate to filter by employers with verified H-1B visa LCA history in software infrastructure roles, so you're applying where a transition pathway already exists.
Request the I-129 filing timeline during offer negotiation
USCIS cap-subject H-1B petitions are filed in April for an October 1 start. If your STEM OPT expires before October 1 and you're selected in the lottery, the cap-gap provision extends your work authorization automatically. Ask your employer's immigration team about their filing calendar before you sign.
Use O*NET to document the specialty occupation case
SRE roles must qualify as a specialty occupation requiring a STEM bachelor's degree or higher. Pull the O*NET occupation profile for your specific job title and confirm the education requirements align with your degree field before your employer files any petition.
Frequently Asked Questions
Does a Site Reliability Engineer role qualify for the STEM OPT extension?
Yes, SRE roles typically qualify because they require a STEM degree in fields like Computer Science, Computer Engineering, or Information Systems, all of which appear on the DHS STEM Designated Degree Program List. Your qualifying degree field is tied to the CIP code on your I-20, not your job title. Confirm the match with your DSO before your employer files the I-983 training plan.
What does my employer need to do to support my STEM OPT as an SRE?
Your employer must be actively enrolled in E-Verify and must co-sign your I-983 training plan, which documents the specific SRE skills and learning objectives you'll develop on the job. The employer also certifies that your compensation and hours are comparable to similarly situated U.S. workers. USCIS and ICE can audit these records, so both sides need to keep copies throughout your STEM OPT period.
How does cap-gap work if my STEM OPT expires before October 1?
If your employer files an H-1B cap-subject petition on your behalf before your STEM OPT end date and you're selected in the lottery, the cap-gap provision automatically extends your work authorization through September 30 of that year. You can continue working in your SRE role during this period without interruption. USCIS provides specific guidance on cap-gap eligibility on their website.
Can I switch SRE employers while on STEM OPT?
Yes, but you must report the employer change to your DSO within 10 days, and your new employer must also be enrolled in E-Verify. You'll need a new I-983 training plan co-signed by the new employer before your start date. Any gap in employment can raise compliance issues, so coordinate the transition timing carefully with both your current employer and your DSO.
Where can I find SRE employers already set up to hire STEM OPT students?
Migrate Mate filters Site Reliability Engineer jobs by employers with verified E-Verify enrollment and H-1B LCA filing history, so you're not spending time on companies that have never sponsored work authorization. You can search by role, location, and employer sponsorship track record to prioritize applications where the infrastructure for hiring STEM OPT students is already in place.