Reliability Engineer Jobs

About The Position

Requirements

• Deep hands-on experience with Kubernetes in production; EKS experience is preferred. Experience debugging node pressure, networking issues, and deployment failures at scale is required.
• Strong experience operating production infrastructure on AWS, including organizational boundaries, IAM, and networking across multiple accounts.
• Experience automating infrastructure at scale using Terraform or Terragrunt, including module design and state management.
• Solid understanding of Linux systems, including disk, memory, networking, and failure modes.
• Experience supporting stateful systems such as databases, queues, or storage systems.
• Ability to debug and reason about production performance and reliability issues.
• Comfort owning systems end to end, including on-call responsibilities.
• Enjoyment of owning complex infrastructure and learning how its components fit together.
• Proactive ownership of projects, with the judgment to seek help when needed.
• Collaborative, resilient problem-solving and a kind, considerate, professional, low-ego, flexible, and respectful approach.

Nice To Haves

• Experience with GitOps workflows such as ArgoCD and CI/CD pipelines such as GitHub Actions.
• Experience building AI agent-enabled base-level infrastructure services for fast-moving teams.
• Familiarity with multi-region infrastructure and its consistency and availability tradeoffs.

Responsibilities

• Operate EKS clusters across several environments, including Karpenter autoscaling, Cilium networking, and ArgoCD-driven GitOps deployments.
• Manage and evolve a multi-account AWS organization, including provisioning, networking, access control, and cross-account connectivity.
• Maintain the Terraform/Terragrunt infrastructure-as-code platform, including modules, plan-on-PR/apply-on-merge pipelines, and safe patterns for shared infrastructure.
• Improve operational tooling for deployments, schema changes, backups, restores, and incident response.
• Identify recurring operational pain points and eliminate them through code and self-healing automation.
• Optimize cloud spend.
• Participate in on-call and incident response, with a focus on making incidents less frequent over time.
• Own production systems end to end and build platform capabilities that support system scaling.