Full Time

DevOps Engineer

Evlo AI
Full-time
Mid-Senior level
Software Development
Minneapolis, MN
$120,000 - $180,000* / year (about $58–$87 an hour)

Job Description

About The Role

The role sits at the intersection of infrastructure engineering and production reliability — building, automating, and operating the platform that runs customer-facing services at scale.

You will work with software engineering teams to ship faster without breaking things: owning CI/CD pipelines, Kubernetes infrastructure, observability tooling, and the incident response practices that keep uptime in the four-nines range.

Key Responsibilities

  • Design, build, and maintain cloud infrastructure on AWS using Terraform and Terragrunt, with infrastructure-as-code covering networking, compute, and data stores
  • Operate and scale Kubernetes clusters (EKS) handling production workloads, including cluster upgrades, autoscaling policies, and multi-AZ resilience
  • Build and maintain CI/CD pipelines in GitHub Actions and ArgoCD supporting safe, frequent deployments with canary and blue-green strategies
  • Instrument services with Prometheus, Grafana, and OpenTelemetry; own SLO definitions, alerting thresholds, and dashboards used across the org
  • Lead incident response for production outages — triage, mitigation, root cause analysis, and blameless postmortems with actionable follow-ups
  • Harden infrastructure security: IAM least-privilege policies, secrets management with Vault, network segmentation, and compliance-driven audit readiness
  • Drive capacity planning and cost optimization across cloud spend, identifying savings without sacrificing reliability or performance

What We Are Looking For

  • 3–6 years of experience in DevOps, SRE, or infrastructure engineering roles supporting production systems
  • Strong hands-on experience with AWS (EKS, EC2, RDS, IAM, VPC) and infrastructure-as-code with Terraform
  • Deep working knowledge of Kubernetes: deployment strategies, Helm, operators, and troubleshooting workloads in production
  • Proficiency with observability stacks (Prometheus, Grafana, Datadog, or similar) and designing actionable alerting, not noise
  • Solid scripting skills in Python, Bash, or Go for automation and tooling
  • Experience running on-call rotations and leading incident response at a team level
  • Bonus: GCP or multi-cloud experience, service mesh (Istio/Linkerd), GitOps tooling (ArgoCD/Flux), and Kubernetes certifications (CKA/CKS)

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