DevOps Engineer
DevOps Engineer
Posted on :
11-07-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
11-07-2025
Job Description
The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI. We address AIs toughest challenges through technical research field-building initiatives and policy engagement along with our partner 501(c)4 organization Center for AI Safety Action Fund (CAISAF).
Were looking for a versatile DevOps Engineer to support our cloud-based GPU cluster and contribute to engineering projects for our research team. In this role youll work with our cloud provider to maintain and scale our infrastructure and support users with any technical issues they face. Your work will enable our research team to run experiments productively and will also empower a wide range of researchers at Stanford Berkeley CMU Cambridge Harvard and other top universities worldwide who partner with CAIS by using our cloud infrastructure to produce technical research on AI safety. You will support our research team for their other engineering needs for example the development and maintenance of lightweight public-facing websites for various research projects. Depending on the organizations needs and your skillset you may also contribute to engineering projects for other teams.
This is a great opportunity for a generalist engineer who enjoys operating at the intersection of infrastructure and software development and is excited to work on a wide variety of technical challenges in a mission-driven environment.
Key Responsibilities:
- Maintain our cloud infrastructure to ensure scalability availability and performance and design and test upgrades and new features.
- Collaborate with service providers to maintain high availability.
- Monitor cluster resource usage generate billing reports and support capacity planning to ensure efficient utilization of cluster resources.
- Develop and maintain lightweight web-based tools dashboards and other services end-to-end.
- Maintain and update existing websites (e.g. static sites research tools).
- Collaborate with research and operations teams to scope and implement new technical projects as needed.
You might be a good fit if you:
- Are a generalist engineer with experience in full-stack development
- Have previous SRE or DevOps experience in managing customer-facing systems in a 24/7 environment.
- Have built simple web applications or tools (e.g. using Flask React or static site generators).
- Are excited to take ownership of diverse technical projects and collaborate across a small fast-moving team.
The following skills and experiences would be beneficial though it is not required to have all of these prior to starting the role:
- Have experience provisioning and maintaining distributed systems using containerization tools such as Docker or Apptainer.
- Have a solid understanding of distributed systems including storage networking and security.
- Have worked with ML pipelines HPC systems or SLURM-based workflows.
$100000 - $140000 a year
The Center for AI Safety is an Equal Opportunity Employer. We consider all qualified applicants without regard to race color religion sex sexual orientation gender identity or expression national origin ancestry age disability medical condition marital status military or veteran status or any other protected status in accordance with applicable federal state and local laws. In alignment with the San Francisco Fair Chance Ordinance we will consider qualified applicants with arrest and conviction records for employment.
If you require a reasonable accommodation during the application or interview process please contact
We value diversity and encourage individuals from all backgrounds to apply.
Employment Type
Full-Time
Key Skills
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