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Job Description
What you'll do
We're hiring an experienced DevOps Engineer to join our engineering team. This role suits someone who has already spent real time operating cloud-native infrastructure at scale - not someone looking to break into the field. You'll bring a GitOps mindset, hands-on Kubernetes depth, and the independence to research and learn new tools quickly in a fast-moving, large-scale environment.
Design, operate, and troubleshoot Kubernetes clusters (EKS/AKS) at scale
Manage application delivery and infrastructure using GitOps tools (ArgoCD/Flux)
Build and maintain Helm charts and Kustomize overlays for multi-environment deployments
Provision and manage cloud infrastructure using Crossplane
Own and optimize CI/CD pipelines (GitHub Actions, GitLab CI) for build, test, and deployment workflows
Maintain and extend observability stacks, including Prometheus, Grafana, alerting rules, and dashboards
Write automation scripts and tooling in Python, Go, or Bash to streamline operations
Develop internal developer portals, AI agents, and other engineering productivity tools
Support AWS infrastructure across multiple accounts and regions, including networking, IAM, compute, and storage services
Participate in on-call rotations, troubleshoot production incidents, and drive root-cause analysis
Collaborate with Platform, Security, and Application Engineering teams on infrastructure design and reliability improvements
Requirements
4+ years of experience in DevOps, Platform Engineering, or a related role
Experience with Kubernetes and Helm in production environments
Experience with Crossplane and/or Terraform for Infrastructure as Code (IaC)
Proficiency in AWS
Experience with GitOps tools such as ArgoCD or Flux
Ability to script in Python, Go, or Bash for automation and tooling
Experience with Prometheus and Grafana for monitoring and alerting
Experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI)
Strong self-learning ability, including independently researching unfamiliar technologies, reading documentation, and applying findings without hand-holding
Strong troubleshooting skills across networking, compute, and distributed systems
Nice to have
Proficiency in Go, or Python beyond scripting
Experience with service mesh technologies (Istio or similar)