Platform Engineer II

Teamworks
$166,036 - $166,036

About The Position

The Platform Engineering team at Teamworks owns the infrastructure that supports elite sports organizations. This role is for a Platform Engineer II who will be responsible for the day-to-day operations of the company's AWS infrastructure. The engineer will also contribute to improving observability and stability as the company grows. This is a collaborative, hands-on position where the engineer will work with a platform team serving application teams across the organization. The goal is to make the lives of these application teams measurably easier through the engineer's work.

Requirements

  • 3+ years of experience in platform, infrastructure, or DevOps engineering
  • Strong proficiency in Linux administration in production environments, including RHEL-based system management
  • Proven hands-on experience with Kubernetes (EKS preferred), Terraform, and CI/CD pipelines using GitLab CI or comparable tooling
  • Experience deploying and managing infrastructure in AWS
  • Strong cross-functional communication skills, with the ability to translate platform changes into clear guidance for application teams

Nice To Haves

  • Experience with configuration management and automation tooling (Ansible, AWX, and Packer)
  • Familiarity with Python or shell scripting for operational tooling
  • Experience with Datadog or a comparable observability platform
  • Exposure to AWS Bedrock or AI agent development in an infrastructure context

Responsibilities

  • Own day-to-day operations and maintenance of our AWS environment, including EKS cluster management, EC2, RDS/Aurora, ElastiCache, S3, and IAM
  • Manage deployments of new features and fixes, coordinating with application teams through structured intake and ad hoc request processes
  • Build and maintain reusable Terraform modules, Helm charts, and CI/CD pipeline templates (GitLab CI) that enforce organizational standards for scalability, compliance, and observability
  • Diagnose cross-cutting infrastructure issues — networking misconfigurations, IAM permission boundaries, Kubernetes scheduling failures — evaluating blast radius and downstream impact before proposing solutions
  • Partner with application teams to translate platform changes and new standards into clear, actionable guidance that reduces friction across the organization
  • Drive improvements to environment observability and stability using Datadog, and participate in on-call rotation with full production ownership
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