DevOps Engineer — Raleigh, NC

About The Role

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

You will work alongside backend engineers and SREs on a platform serving production traffic at scale, where deployment velocity, uptime, and cost efficiency all matter equally.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using GitHub Actions or GitLab CI, cutting deployment lead times while enforcing safety gates and rollback procedures

• Operate and scale Kubernetes clusters (EKS/GKE) - workload scheduling, autoscaling policies, Helm charts, and cluster upgrades with zero downtime

• Provision and manage cloud infrastructure as code using Terraform, with modular, reviewed, and version-controlled configurations across AWS

• Build and maintain observability stacks - Prometheus, Grafana, and distributed tracing - with actionable alerting tied to SLOs rather than noise

• Lead incident response for production issues: triage, mitigation, root cause analysis, and blameless postmortems that drive systemic fixes

• Harden infrastructure security: secrets management (Vault), IAM least-privilege policies, network segmentation, and compliance-ready audit trails

• Partner with development teams to improve reliability, including capacity planning, load testing, and elimination of single points of failure

What We Are Looking For

• 3-7 years of experience in DevOps, SRE, or infrastructure engineering, with at least 2 years running production Kubernetes environments

• Deep hands-on expertise with AWS (EKS, EC2, RDS, VPC, IAM) and infrastructure-as-code using Terraform

• Strong scripting and automation skills in Python, Bash, or Go

• Production experience with CI/CD tooling, container registries, and GitOps workflows (Argo CD or Flux)

• Solid grounding in Linux systems, networking (DNS, TLS, load balancing), and containerization internals

• Bachelor's degree in Computer Science or equivalent practical experience

• Bonus: Experience with service mesh (Istio), cost optimization tooling (Kubecost), chaos engineering, or multi-region/multi-cloud architectures