





Specialized Kubernetes/Terraform role but metro location and mid-level seniority increase applicant density.
Core EKS, Terraform, Helm skills are highly transferable across industries despite financial-services preference.
Explicit years, mandatory AWS/Terraform/Kubernetes, on-call responsibilities, and certification path make screening strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support and operate Amazon EKS container platform in a multi-account AWS environment focusing on cluster management, Helm application delivery, and namespace vending.
Implement and maintain infrastructure as code using Terraform and Helm, contributing to internal module libraries and ensuring application teams achieve safe, efficient production deployment.
Serve as a primary on-call responder for container platform incidents, collaborating with cross-functional pods on cost, security, networking, and observability.
3+ years technical experience in cloud infrastructure, platform engineering, or software engineering with a Bachelor's degree or equivalent experience.
1+ year hands-on production AWS experience in multi-account environments using Terraform delivered via Terraform Cloud and GitHub Actions.
Production Kubernetes (preferably Amazon EKS) and Helm experience in multi-cluster environments, including GitOps tools (ArgoCD or Flux).
Experience participating in 24x7 production on-call rotations as a primary responder, preferably in security-conscious or financial services environments.
Mid-level platform engineer comfortable with hands-on coding in Terraform, Helm, and incident response within a large distributed AWS-focused organization.
Strong collaborator able to work cross-functionally with FinOps, Network, Security, and Monitoring teams and communicate changes effectively to peers and senior leadership.
Growth-focused engineer following a defined certification path including AWS Developer Associate, Terraform Associate, and Kubernetes certifications, with exposure to agentic AI tooling in daily workflows.