DevOps Engineer

Evlo AI; Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Job summary

Evlo AI in Chicago, IL is seeking a seasoned DevOps/SRE to own production infrastructure. You will lead CI/CD pipelines, manage Kubernetes workloads, and drive SRE practices that enhance reliability and reduce toil.

Responsibilities include automating deployments, improving observability, and optimizing AWS costs, while collaborating with developers on secure, scalable patterns for containerized services.

Qualifications

• 3–7 years of DevOps/SRE experience maintaining production systems at scale.
• Hands-on Kubernetes production experience, including troubleshooting workloads and upgrades.
• Proficiency with Terraform and AWS or other major cloud providers.
• Scripting in Python, Go, or Bash.
• Experience running CI/CD at scale and designing release strategies (blue/green, canary).
• Bachelor's degree in CS, Engineering, or equivalent practical experience.

Responsibilities

• Build and maintain CI/CD pipelines (GitHub Actions, ArgoCD) to ship services safely and frequently across environments.
• Design, deploy, and operate Kubernetes workloads (EKS/GKE) with autoscaling and network policies.
• Manage infrastructure as code using Terraform and Helm; ensure reproducible environments.
• Improve observability with Prometheus, Grafana, and OpenTelemetry; build dashboards and SLOs.
• Lead incident response for outages; drive blameless postmortems and fixes to prevent recurrence.
• Optimize cloud costs (AWS) through right-sizing and cost reviews with engineering teams.
• Partner with application developers on containerization and secure deployment patterns.

Skills

Kubernetes production

Terraform

Python / Go / Bash

CI/CD at scale

Release strategies

GitOps tools

Chaos engineering

FinOps

AWS cloud

Cloud cost optimization

Education

Bachelor's degree in CS/Engineering

Tools

GitHub Actions

ArgoCD

Kubernetes (EKS/GKE)

Job description

About The Role

The role owns the infrastructure that keeps production systems running at scale - CI/CD pipelines, Kubernetes clusters, and cloud environments serving real traffic around the clock.

The team treats reliability as a product: the role will build automation, harden observability, and drive SLO-based practices that reduce toil and improve uptime measurably.

Key Responsibilities

• Build and maintain CI/CD pipelines (GitHub Actions, ArgoCD) to ship services safely and frequently across multiple environments
• Design, deploy, and operate Kubernetes workloads (EKS/GKE) with proper resource tuning, autoscaling, and network policies
• Manage infrastructure as code using Terraform and Helm, ensuring environments are reproducible and drift‑free
• Improve observability with Prometheus, Grafana, and OpenTelemetry - building dashboards, alert rules, and SLOs tied to user‑facing latency and error budgets
• Lead incident response for production outages, drive blameless postmortems, and implement fixes that prevent recurrence
• Optimize cloud costs (AWS) through right‑sizing, spot capacity strategies, and efficiency reviews with engineering teams
• Partner with application developers on containerization, service design, and secure deployment patterns

What We Are Looking For

• 3–7 years of experience in DevOps, SRE, or platform engineering roles operating production systems at scale
• Deep hands‑on experience with Kubernetes in production, including troubleshooting workloads, ingress, and cluster upgrades
• Strong proficiency with Terraform and at least one major cloud provider (AWS preferred)
• Solid scripting and automation skills in Python, Go, or Bash
• Experience running CI/CD at scale and designing release strategies (blue/green, canary, feature flags)
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• Bonus: experience with service mesh (Istio/Linkerd), GitOps tooling (ArgoCD/Flux), chaos engineering, or FinOps practices; relevant certifications (CKA, AWS Solutions Architect)