What are the responsibilities and job description for the DevOps Engineer position at Evlo AI?
About The Role
The role owns the infrastructure that keeps production running — Kubernetes clusters, CI/CD pipelines, observability stacks, and cloud environments serving high-traffic systems around the clock.
The team works closely with application engineers to make deployments boring, incident response fast, and infrastructure costs predictable. This is a hands-on role: expect to spend the majority of your time in terminals, Terraform repos, and incident channels, not in slide decks.
Key Responsibilities
The role owns the infrastructure that keeps production running — Kubernetes clusters, CI/CD pipelines, observability stacks, and cloud environments serving high-traffic systems around the clock.
The team works closely with application engineers to make deployments boring, incident response fast, and infrastructure costs predictable. This is a hands-on role: expect to spend the majority of your time in terminals, Terraform repos, and incident channels, not in slide decks.
Key Responsibilities
- Design, build, and maintain scalable infrastructure on AWS or GCP using Terraform — VPCs, EKS/GKE clusters, IAM, networking, and autoscaling policies
- Own and improve CI/CD pipelines (GitHub Actions, GitLab CI, or ArgoCD) to enable safe, frequent deploys with automated rollback paths
- Build and operate observability stacks — Prometheus, Grafana, OpenTelemetry, and structured alerting — to reduce mean time to detection and resolution
- Lead and participate in incident response: run postmortems, identify root causes, and drive systemic fixes rather than patches
- Harden production systems: implement security best practices, least-privilege access, secrets management (Vault), and compliance-ready audit trails
- Containerize and orchestrate services with Docker and Kubernetes, including Helm chart management and workload right-sizing
- Partner with development teams to improve service reliability — defining SLOs, building runbooks, and eliminating operational toil through automation
- 3–6 years of experience in DevOps, SRE, or infrastructure engineering, including on-call ownership for production systems
- Deep hands-on experience with at least one major cloud (AWS, GCP, or Azure), including networking and IAM
- Production experience with Kubernetes and containerized workloads at meaningful scale
- Strong infrastructure-as-code skills with Terraform (or equivalent) and version-controlled operational practices
- Proficiency in at least one scripting or systems language: Python, Go, or Bash
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience