DevOps Engineer

Requirements:

Must have

• 5+ years in DevOps, SRE, or Platform Engineering.
• Production AWS experience (EKS, IAM, VPC, RDS).
• Terraform — modules, remote state, multi-environment infrastructure.
• Kubernetes — production operations, Helm.
• CI/CD — building, maintaining, and improving pipelines.
• Linux, networking, scripting (Bash + Python or Go).
• Secrets management and security fundamentals (IAM, least privilege).
• Observability — metrics, logs, and alerting (Prometheus/Grafana or equivalent).
• AI fluency — actively uses AI tools (Claude Code, Cursor, Codex, or similar) in day-to-day engineering work. Not just "aware of AI" — uses them to multiply productivity while applying engineering judgment to the output.
• Proactivity — identifies problems before they surface, proposes solutions, and drives them to completion. Doesn't wait to be told what to do.
• English: confident reading and listening is a must. 
  
   

What you'll do:

• Infrastructure as Code: Design and evolve Terraform modules for AWS (composite modules, accounts as code), and build a multi-environment foundation across non-prod / pre-prod / prod.
• Kubernetes: Operate and evolve EKS clusters — workloads, namespaces, resources, autoscaling, and network policies.
• CI/CD: Build, maintain, and improve GitHub Actions pipelines — faster, more reliable delivery with fewer manual steps.
• GitOps / Delivery: Manage Helm charts and ArgoCD for declarative Kubernetes deployments.
• Secrets & Access: Own secrets management, rotation, least-privilege access, and keep secrets out of code.
• Observability: Build metrics, dashboards, and alerting (Amazon Managed Prometheus + Amazon Managed Grafana), define SLOs, and improve incident response.
• Security & Networking: Manage IAM, environment separation, and secure access with Okta and Twingate.
• Databases (Operations): Operate PostgreSQL (RDS) and Redshift — configuration, backups, secret rotation, and operational reliability.
• Reliability: Drive production readiness, capacity planning, cost optimization, HA where it matters, and operational runbooks.
   

Stack:

• Cloud: AWS (EKS, RDS, IAM, VPC, etc.)
• IaC: Terraform
• Containers: Docker, Kubernetes (EKS), Helm
• GitOps: ArgoCD
• CI/CD: GitHub Actions
• Observability: Amazon Managed Prometheus (AMP), Amazon Managed Grafana (AMG)
• Database: PostgreSQL (RDS), AWS Redshift (OLAP)
• Auth / Access: Okta, Twingate
• AI: AI-first — active use of AI tools and AI agents in daily engineering work.
   

Nice to have

• FinTech, payments, or banking infrastructure experience.
• Experience building toward or maintaining PCI DSS compliance.
• ArgoCD / GitOps.
• Amazon Managed Prometheus / Grafana.
• AWS Redshift.
• Multi-account AWS environments with clear non-prod / pre-prod / prod separation.