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Benefits offered by this job
Competitive compensation with equity
100% medical, dental, and vision coverage
Generous PTO including Winter Break
Paid parental leave
Company-facilitated 401(k)
Job summary
A leading AI firm in San Francisco seeks a Site Reliability Engineer to ensure scalable and reliable infrastructure for machine learning models. Responsibilities include maintaining infrastructure, automating CI/CD processes, and mentoring team members. Ideal candidates hold a degree in Computer Science or similar and have extensive Kubernetes experience. The position offers competitive compensation, full medical coverage, generous PTO, and a collaborative team environment. Join us to shape the future of AI!
Qualifications
Bachelor’s, Master’s, or Ph.D. degree in a relevant field.
Extensive experience with Kubernetes.
Experience in building and maintaining scalable infrastructure.
Responsibilities
Build and maintain scalable infrastructure to support machine learning models.
Establish standards and best practices for reliability across infrastructure.
Automate processes for managing CI/CD pipelines.
Skills
Experience with Kubernetes
Scalable infrastructure development
Infrastructure as code tools
CI/CD tooling experience
Observability tools knowledge
Education
Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics
Tools
Terraform
GitHub Actions
Prometheus
Grafana stack
Job description
A leading AI firm in San Francisco seeks a Site Reliability Engineer to ensure scalable and reliable infrastructure for machine learning models. Responsibilities include maintaining infrastructure, automating CI/CD processes, and mentoring team members. Ideal candidates hold a degree in Computer Science or similar and have extensive Kubernetes experience. The position offers competitive compensation, full medical coverage, generous PTO, and a collaborative team environment. Join us to shape the future of AI!