Senior Platform/MLOps Engineer
San Francisco, California
USD 175K-215K (estimate) Senior-level Full Time
Tasks
- Apply CI CD GitOps workflows
- Build and maintain inference workloads
- Collaborate on design prototypes and technical feasibility
- Create and maintain technical documentation
- Define secure scalable infrastructure and tooling
- Deploy GPU workloads on Kubernetes
- Design implement and maintain ML AI training pipelines
- Design implement and maintain model deployments
- Improve developer velocity through continuous improvements
- Perform peer code reviews
- Write and maintain clean code
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | C# | CI/CD | Docker | Git | GitOps | Go | Grafana | Infrastructure as Code | JavaScript | Kubernetes | MLOps | Machine Learning | Observability | OpenTelemetry | Prometheus | Python | Terraform | “as-code”
Education
Regions
Countries
States
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