EverHealth - Lead DevOps Engineer III

As a Platform Engineer, you will be instrumental in modernizing our cloud infrastructure and deployment pipelines. You will work with tools like AWS ECS, Terraform, GitHub Actions, Spacelift.io , Backstage.io , and Ansible to create and manage an automated, self-service platform for development and operations teams. Your work will ensure a seamless developer experience while enforcing best practices for security, compliance, and scalability.

This role requires hands-on experience in creating, migrating, and managing containerized workloads and infrastructure as code (IaC) solutions in an enterprise production environment. You will collaborate closely with engineering, security, and DevOps teams to build an efficient, scalable, and resilient platform.

• Cloud Infrastructure & Automation

  • Design, deploy, and manage AWS ECS-based containerized workloads using Terraform and Spacelift .

  • Build and optimize self-service infrastructure platforms with Backstage , enabling development teams to deploy services autonomously.

  • Implement best practices for observability, security, and reliability across cloud environments.

• Continuous Integration & Deployment (CI/CD)

  • Develop and manage GitHub Actions workflows for automated testing, security scanning, and deployments.

  • Standardize CI/CD pipelines and release automation processes across teams.

  • Improve deployment strategies to ensure zero-downtime deployments and infrastructure immutability.

• Configuration Management & Orchestration

  • Automate server and container configurations using Ansible.

  • Develop repeatable, scalable, and version-controlled infrastructure patterns.

  • Support developers with automated service provisioning and self-service tools.

• Security, Compliance, & Governance

  • Embed security and compliance controls into infrastructure and workflows.

  • Implement role-based access control (RBAC), policy enforcement, and infrastructure security best practices.

  • Ensure auditability and traceability in infrastructure changes using GitOps methodologies.

• Monitoring, Logging & Incident Response

  • Implement observability solutions, including logging, monitoring, and alerting for platform services.

  • Define SLAs, SLOs, and on-call runbooks to ensure high availability and reliability.

  • Support production and non-production environments through proactive incident resolution and root cause analysis.

• Proven experience in designing, migrating, and managing AWS ECS-based containerized environments.

• Deep expertise in Terraform for IaC, with experience in Spacelift.io or similar policy-as-code automation tools.

• Hands-on experience with GitHub Actions for CI/CD automation.

• Strong knowledge of Backstage.io for developer portal and self-service infrastructure.

• Experience with Ansible for configuration management and automation.

• Self-service and everything-as-code mindset – experience designing repeatable, fully automated infrastructure patterns.

• Strong understanding of networking, IAM policies, secrets management, and cloud security best practices.

• Experience with monitoring and logging solutions (e.g., CloudWatch, NewRelic).

• Ability to troubleshoot performance, availability, and scaling issues in containerized and cloud-native environments.

• Experience with service mesh technologies (e.g., Istio, Linkerd, or AWS App Mesh).

• Familiarity with FinOps and cost optimization in AWS environments.

• Knowledge of SRE principles, SLAs, and error budgets.

• Experience with policy-as-code tools like Open Policy Agent (OPA) or HashiCorp Sentinel.

Benefits and Perks:

• Flexibility to work where/how you want within your country of employment – remote

• Robust health and wellness benefits, including an annual wellness stipend

• 401k with up to a 4% match and immediate vesting

• Flexible and generous (FTO) time-off

• Employee Stock Purchase Program

Compensation

The target base compensation for this position is $150,000 to $180,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.