Design, build, and scale Kubernetes infrastructure for secure, multi-tenant, high-availability applications.
Build and operate AI tooling infrastructure, including MCP servers and secure AI access.
Optimize CI/CD pipelines, implement progressive delivery, and advance Infrastructure as Code.

Qualifications:

6+ years in SRE, DevOps, or Infrastructure roles with significant production Kubernetes experience.
Hands-on experience integrating AI/LLM tooling into engineering or operational workflows.
Proven success building CI/CD pipelines and expertise with Infrastructure as Code such as Terraform.

Benefits:

Competitive salary, stock options, and health benefits.
Unlimited PTO and parental leave.
Tuition reimbursements and other perks.

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