DevOps Engineer

Evlo AI; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Evlo AI is seeking a skilled DevOps/SRE engineer to own our production platform. You will design, build, and operate cloud infrastructure on AWS, manage EKS/Kubernetes, and own CI/CD pipelines supporting frequent deployments.

You will implement observability, alerting, incident response, and security hardening, while driving cost optimization and capacity planning for a scalable, reliable service.

Qualifications

• 3–6 years of experience in DevOps, SRE, or infrastructure roles supporting production systems.
• Strong hands-on experience with AWS (EKS, EC2, RDS, IAM, VPC) and infrastructure-as-code with Terraform.
• Deep Kubernetes knowledge: deployment strategies, Helm, operators, production troubleshooting.
• Observability stacks experience and designing actionable alerting.
• Scripting in Python, Bash, or Go for automation.
• Experience running on-call rotations and leading incident response at a team level.
• Bonus: multi-cloud experience, service mesh, GitOps tooling, and Kubernetes certifications (CKA/CKS)

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 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, secrets management with Vault, network segmentation, and audit readiness
• Drive capacity planning and cost optimization across cloud spend, identifying savings without sacrificing reliability or performance

Skills

CI/CD

Incident response

Observability design

Automation mindset

Cross-functional collaboration

Tools

AWS

Terraform

Terragrunt

Kubernetes (EKS)

GitHub Actions

ArgoCD

Prometheus

Grafana

OpenTelemetry

Vault

Datadog

Helm

Istio/Linkerd

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)