DevOps Engineer

Evlo AI; Seattle (WA); In loco; USD 140.000 - 210.000; Tempo pieno

Descrizione del lavoro

Evlo AI, Seattle-based, is seeking an experienced DevOps/SRE engineer to own scalable infrastructure. You will operate Kubernetes clusters on AWS, manage CI/CD via GitHub Actions and ArgoCD, and build robust observability using Prometheus, Grafana, and OpenTelemetry.

You will lead incident response and blameless postmortems, implementing policy-as-code and automated security checks across pipelines. A strong scripting background in Python/Go is preferred.

Competenze

• 3–6 years of experience in DevOps, SRE, or infrastructure engineering.
• Hands-on Kubernetes cluster operations and troubleshooting.
• Experience with multi-account AWS across EKS, IAM, RDS, S3.

Mansioni

• Design, build, and maintain Kubernetes-based infra on AWS using Terraform with reproducibility and cost-efficiency.
• Own and evolve CI/CD pipelines in GitHub Actions and ArgoCD, enabling safe, frequent releases with automated rollbacks.
• Build and maintain observability tooling with Prometheus, Grafana, OpenTelemetry, and PagerDuty tied to SLOs.
• Lead incident response for production outages with blameless postmortems and corrective actions.
• Implement infrastructure-as-code standards, policy-as-code guardrails, and automated security scanning.
• Partner with engineering on capacity planning, performance tuning, and load testing for high-traffic services.
• Automate away manual toil by writing tooling in Python or Go.

Conoscenze

DevOps mindset

SRE experience

Scripting

Formazione

Bachelor's degree in CS/Engineering or equivalent

Strumenti

Kubernetes

Terraform

AWS

GitHub Actions

ArgoCD

Helm

Prometheus

Grafana

OpenTelemetry

Descrizione del lavoro

About The Role

The role owns the infrastructure that keeps production systems running at scale - Kubernetes clusters, CI/CD pipelines, and the observability stack that surfaces problems before customers notice them.

About The Role

The role owns the infrastructure that keeps production systems running at scale - Kubernetes clusters, CI/CD pipelines, and the observability stack that surfaces problems before customers notice them. You will work closely with backend engineering teams to make deployments faster, incidents rarer, and on-call quieter. This is a hands‑on role: expect to spend real time in clusters, pipelines, and incident channels, not just meetings about them.

Key Responsibilities

• Design, build, and maintain Kubernetes‑based infrastructure on AWS using Terraform, ensuring environments are reproducible, cost‑efficient, and reliably provisioned
• Own and evolve CI/CD pipelines in GitHub Actions and ArgoCD, reducing deploy times and enabling safe, frequent releases with automated rollbacks
• Build and maintain observability tooling - Prometheus, Grafana, OpenTelemetry, and PagerDuty - with actionable alerts tied to SLOs rather than noise
• Lead incident response for production outages, drive blameless postmortems, and follow through on corrective actions until resolved
• Implement infrastructure-as-code standards, policy-as-code guardrails, and automated security scanning across the deployment pipeline
• Partner with engineering teams on capacity planning, performance tuning, and load testing for services serving millions of requests daily
• Automate away manual toil: write tooling in Python or Go that eliminates recurring operational work across the team

What We Are Looking For

• 3-6 years of experience in DevOps, SRE, or infrastructure engineering, running production systems at meaningful scale
• Deep hands‑on expertise with Kubernetes - cluster operations, Helm, networking, autoscaling, and debugging workloads in production
• Strong infrastructure-as-code skills with Terraform; comfort managing multi‑account AWS environments (EKS, VPC, IAM, RDS, S3)
• Production experience with CI/CD systems (GitHub Actions, GitLab CI, ArgoCD, or similar) and GitOps workflows
• Solid scripting/programming ability in Python, Go, or Bash - enough to build real tooling, not just glue scripts
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Bonus: experience with service mesh (Istio/Linkerd), multi‑region architectures, cost optimization/FinOps, or on‑call leadership in a 24/7 environment