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.