DevOps Engineer

Engineering, Full-time
San Francisco, CA
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We encourage you to apply even if you don't meet 100% of the requirements

Keep the lights on and the systems blazing fast. Our AI search platform runs across clusters of GPUs, vector databases, and distributed services that power millions of queries per day. Reliability, speed, and automation are at the heart of everything we do.

About the role

We're looking for a DevOps Engineer to join our core infrastructure team. You'll be responsible for building and maintaining the pipelines, tooling, and systems that allow our engineering and ML teams to ship quickly and safely. This role is a mix of reliability engineering, systems automation, and scaling high-performance AI workloads.

What you'll do

  • Design, implement, and maintain CI/CD pipelines for rapid, reliable deployments
  • Automate infrastructure provisioning and management using IaC tools
  • Monitor, troubleshoot, and optimize distributed systems running at scale
  • Ensure high availability and resilience of GPU clusters and vector databases
  • Collaborate with software and ML engineers to streamline model deployment and serving
  • Improve observability with metrics, logging, and alerting systems
  • Drive incident response, postmortems, and reliability best practices
  • Contribute to security, compliance, and data privacy initiatives

What we're looking for

  • Strong experience with cloud platforms (AWS, GCP, or Azure)
  • Proficiency in Infrastructure-as-Code tools (Terraform, Ansible, or similar)
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Solid knowledge of CI/CD tools (GitHub Actions, Jenkins, or similar)
  • Background in monitoring, logging, and observability stacks (Prometheus, Grafana, ELK)
  • Scripting skills in Python, Bash, or Go
  • Strong communication skills and ability to support a fast-moving engineering team
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Nice to have

  • Experience with GPU infrastructure and ML model serving pipelines
  • Familiarity with vector databases or search infrastructure
  • Knowledge of security best practices and compliance (SOC 2, ISO 27001)
  • Experience scaling distributed systems in production
  • Contributions to open-source DevOps, SRE, or infrastructure projects

Benefits & Perks

  • Competitive salary and equity package
  • Comprehensive health, dental, and vision coverage

Mixedbread is an equal opportunity employer committed to building a diverse and inclusive team. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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