# Senior DevOps Engineer

**Company:** [CodeRabbit](https://hotfix.jobs/companies/coderabbit)
**Location:** San Francisco, CA
**Role:** DevOps / SRE
**Salary:** $225k – $260k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, Docker, Terraform, Pulumi, GitHub Actions, Argo CD, AWS, GCP, Prometheus, Grafana, Datadog, Vault
**Posted:** 2025-09-18

> Builds and maintains scalable infrastructure, CI/CD pipelines, and observability for AI-powered developer tools. Requires 5+ years DevOps/SRE experience, Kubernetes/Docker expertise, and cloud/IaC proficiency.

## Job Description

## Responsibilities
- Design, implement, and maintain scalable CI/CD pipelines
- Develop and manage infrastructure as code (e.g., Terraform, Pulumi)
- Improve system reliability through monitoring, alerting, logging, and failover strategies
- Work with platform and backend teams to identify and resolve performance bottlenecks
- Contribute to deployment workflows, environment automation, and developer tooling
- Ensure infrastructure security and compliance practices are in place

## Qualifications
**Education:** Degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

**Experience:** 5+ years of experience in a DevOps, Infrastructure, or SRE role at a fast-paced tech company or startup

**Tooling:** Expert-level proficiency with CI/CD systems (**GitHub Actions**, **ArgoCD**, etc.), **Docker**, and **Kubernetes**

**Infrastructure:** Expert with cloud providers (**AWS**/**GCP**), distributed systems architecture and implementation, IaC tools (**Terraform**, **Pulumi**), and secrets management (**Vault**, **SSM**, etc.)

**Observability:** Strong understanding of logging, metrics, and monitoring in large-scale distributed systems (e.g., **Grafana**, **Prometheus**, **ELK**, **Datadog**)

**Collaboration:** Effective at partnering with backend and ML teams to deliver stable, high-velocity systems

**Security:** Experience building with best practices in cloud and application-level security

## Bonus Points
- Experience supporting AI or ML workloads in production
- Experience with ephemeral environments and preview deployments
- Contributions to internal platform tools or DevOps open-source projects
- Past ownership of high-uptime systems or regulated environments

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**Apply:** https://hotfix.jobs/jobs/e02e311a-2ecc-464e-9e6b-8e5b9c29595d
**Canonical:** https://hotfix.jobs/jobs/e02e311a-2ecc-464e-9e6b-8e5b9c29595d