Senior DevOps Engineer (Digital Platform Development)

What You'll Do: Operate and improve our multi-account AWS environment running on Amazon EKS, deployed via ArgoCD and Helm Build and maintain infrastructure as code with Terraform / Terragrunt — everything goes through code review Support product teams' delivery pipelines: CI/CD design, build optimization, deployment reliability across GitLab and GitHub Drive infrastructure migration and improvement projects from design through rollout, with clear documentation and audit-ready evidence Bring hands-on AI expertise to the team, introducing agent-based automation and AI-driven cost/anomaly analysis practices, and mentoring teammates on effective AI-assisted workflows Monitor, troubleshoot, and tune production systems using Datadog Participate in the team's on-call rotation and contribute to incident response and post-incident improvements Identify toil and eliminate it through automation What We're Looking For: Core requirements: Minimum 7 years of professional experience in DevOps, Site Reliability Engineering, or Platform Engineering roles Demonstrated, hands-on expertise in Kubernetes administration and operations; production experience with Amazon EKS strongly preferred Strong command of Infrastructure-as-Code practices using Terraform (experience with Terragrunt is a plus), with a track record of managing infrastructure exclusively through code and automated pipelines Practical, hands-on experience with AI-assisted developer tooling (e.g., Claude Code, GitHub Copilot, or equivalent), including demonstrated success driving adoption of such tools within a team Solid working knowledge of CI/CD practices and tooling, with experience in GitLab CI and/or GitHub Actions Proven ability to troubleshoot complex, multi-layered issues, with demonstrated depth in root-cause analysis across the application, container, node, and network layers Strong sense of ownership and accountability, with the ability to work independently, proactively communicate progress to stakeholders, and produce clear documentation of work delivered Hands-on experience with GitOps methodologies, particularly using ArgoCD Strongly preferred: Karpenter or cluster autoscaling tuning experience FinOps / cloud cost optimization experience Observability tooling beyond dashboards (Datadog APM, log pipelines, custom monitors) Experience with API gateways and edge stacks (Nginx, APISIX, Cloudflare, or similar) as well as edge security components such as WAF Certification required: Kubernetes and/or AWS certification, with AWS Certified Solutions Architect – Professional, DevOps Engineer – Professional, or Specialty level preferred Remark: This position requires a criminal record information check prior consideration for employment to ensure safety and maintain standards of the organization.