DevOps Lead (Platform & Infrastructure Engineering)

Job Responsibilities: • Maintain, refactor, and mature our existing AWS infrastructure and Terraform codebases, ensuring clean remote state management and modular scalability. • Drive proactive infrastructure upgrade cycles (e.g., AWS service deprecations, EKS platform version updates, and Terraform provider upgrades) to minimize technical debt and security risks. • Deeply analyze and optimize existing cloud spend—focusing on compute efficiency, storage lifecycles, and cloud‑to‑cloud/cross‑AZ data transfer fees without compromising resilience. • Architect the transition of current systems toward next‑generation platform engineering patterns (e.g., policy‑as‑code, self‑service infrastructure portals) to support long‑term organizational growth. • Maintain and optimize running production Amazon EKS clusters, managing zero‑downtime upgrades, node group efficiencies, and ingress/egress configurations. • Own and optimize our ArgoCD implementation, ensuring strict configuration drift detection, clean synchronization policies, and multi‑cluster environment alignment. • Continuously tune running containerized workloads by refining pod resource requests/limits, autoscaling policies, and cluster security boundaries. • Manage, secure, and scale our self‑hosted Bitbucket Runners fleet, ensuring high availability, rapid build execution times, and compute cost‑efficiency. • Maintain and continually optimize existing Bitbucket Pipelines to accelerate build‑and‑test feedback loops for developers while integrating automated compliance and security gates. • Maintain and enhance full‑stack observability frameworks (metrics, logs, traces) to ensure deep visibility into distributed microservices. • Monitor system SLAs/SLIs/SLOs, eliminate alerting noise, and act as a senior technical escalation point for critical production incidents, driving comprehensive post‑mortems and preventative remediation. • Guide, upskill, and mentor DevOps engineers, setting high engineering standards for operational tasks, infrastructure‑as‑code quality, and documentation. • Collaborate closely with software development leads to understand operational pain points, translating their feedback into long‑term platform roadmap features. • Use Generative AI and automation to redesign workflows, reduce repetitive work and human error, improve decision quality, and build the team's strategic consulting capability • Any ad hoc duties as assigned Job Requirements: • Preferably 7+ years of dedicated experience in DevOps, Cloud Operations, or Site Reliability Engineering, with at least 2+ years leading engineering teams or overseeing complex production infrastructure environments. • Deep production experience maintaining core AWS environments (VPC, EC2, IAM, S3, RDS, Route53, CloudFront) at scale. • Strong proficiency in maintaining, refactoring, and upgrading large‑scale Terraform codebases (multi-workspace, remote state management). • Hands‑on experience operating production Kubernetes (EKS) and driving continuous delivery using ArgoCD in a live, multi‑environment ecosystem is preferred. • Proven track record managing and troubleshooting self-hosted CI/CD runner fleets (specifically Bitbucket Runners) and optimizing delivery pipelines. • Competency in writing clean, maintainable scripts/tools using Python, Go, or Bash to automate operational runbooks and platform tasks. • Experience utilizing modern Kubernetes autoscalers like Karpenter for dynamic, cost‑optimized EKS node provisioning. • Experience integrating automated compliance, dependency scanning, and vulnerability management (e.g., Trivy, Checkov, OPA) into existing runtime environments. • Certified Kubernetes Administrator (CKA) or AWS Certified DevOps Engineer – Professional will be a plus. #J-18808-Ljbffr