DevOps Engineer
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 AWSBuild 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 GoProduction 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