We are seeking a highly skilled
Senior DevOps Engineer to design, build, and scale infrastructure for advanced AI-powered products. This is a
greenfield opportunity to architect secure, scalable systems from the ground up and support the deployment of large language model applications in enterprise environments.
Key Responsibilities
- Design, implement, and maintain scalable, secure infrastructure for AI-driven B2B applications.
- Manage Kubernetes-heavy deployments, including multi-tenant and isolated container environments, databases, and VPCs.
- Build and optimize CI/CD pipelines, monitoring systems, and alerting frameworks.
- Lead incident response efforts and drive system reliability improvements with metrics-driven insights.
- Aggregate and visualize logs, metrics, and performance data to enable rapid iteration.
- Automate infrastructure provisioning and management using Infrastructure-as-Code tools (Pulumi, Terraform, etc.).
- Collaborate closely with engineering and product teams to enable deployment at scale.
Qualifications
- 5+ years of experience as a DevOps Engineer (flexible for exceptional candidates).
- Proven track record building and scaling infrastructure in startup environments.
- Expertise in Kubernetes, CI/CD, and cloud platforms (Azure, GCP, or similar).
- Strong coding skills (JavaScript preferred).
- Proficiency with Infrastructure-as-Code frameworks.
- Demonstrated ability to own systems end-to-end.
- Bachelor’s degree in Computer Science or Engineering.
- Willingness to work on-site in San Francisco, 5 days a week.
Preferred
- Experience with B2B SaaS or contract-heavy workflows.
- Familiarity with LLM infrastructure or AI/ML deployment.
Skills: kubernetes,cloud platforms,ci/cd,automation,infrastracture as code,programming ability
