Platform Operations Engineer - Turquoise Health

About Turquoise Health

Turquoise Health is building its Platform Engineering function from the ground up, and this is your chance to shape it. As our first Platform Operations Engineer, you'll help lay the foundation for how we build, deploy, and operate infrastructure that supports real-world healthcare outcomes.

This is a high-ownership role on a new team. You'll help establish practices, tooling, and standards that the rest of engineering will rely on, from observability and reliability to deployment workflows and scalability.

Responsibilities

• Support Platform Infrastructure: Manage and scale our container environment on Amazon EKS, implement GitOps workflows using ArgoCD, and maintain CI/CD pipelines through GitHub Actions to ensure fast, consistent, and automated deployments.
• Build for Reliability: Define and track SLIs and SLOs, lead incident response including on-call rotations, root cause analysis, and post-mortems, and contribute to disaster recovery planning.
• Drive Observability: Design and maintain our monitoring and logging stack using Datadog, Sentry, and CloudWatch to give engineering teams clear visibility into system health.
• Shape the Platform's Future: Collaborate on architectural decisions, build internal tooling and self-service workflows, and contribute to how we scale and evolve our infrastructure.

What You'll Bring

• 3+ years of experience in SRE, DevOps, or Cloud Infrastructure.
• Confident working with core AWS services (VPC, IAM, EKS, RDS) and cloud networking/security best practices.
• Expertise in Infrastructure as Code using Terraform, CloudFormation, or Crossplane.
• Proficiency with GitHub and GitHub Actions for CI/CD and automation pipelines.
• Experience running Kubernetes clusters in production and managing application deployments through GitOps workflows (ArgoCD/Flux) and Helm Charts.
• Proficiency with observability tooling such as Datadog, Sentry, CloudWatch, and Grafana.
• Experience writing solid Python scripts to automate infrastructure tasks and handle custom workflows.
• Comfort working independently in a remote setup.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Nice to Haves

• Certifications in AWS, Kubernetes, Terraform, or Python.