Unlock Health

Cloud Engineer

Unlock Health

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudDockerGoogle Cloud PlatformNoSQLPythonSQLTerraform

About the role

  • As a Cloud Engineer, you’ll play a key role in managing, automating, and securing our cloud infrastructure. You’ll collaborate closely with software engineers to support containerized applications, streamline CI/CD workflows, and maintain secure, scalable environments. The Cloud Engineering team also handles DevOps responsibilities across the organization.
  • Managing cloud environments (primarily AWS and GCP) with a focus on reliability, scalability, and security
  • Supporting container-based applications (e.g., ECS, Cloud Run, etc.) using Docker or equivalent technologies
  • Building and maintaining CI/CD pipelines using GitHub Actions
  • Writing Infrastructure as Code (IaC) to provision and manage infrastructure (Terraform, Pulumi, or similar)
  • Responding to cloud security alerts and findings, and assisting in security posture improvements
  • Participating in the team’s on-call rotation
  • Supporting developers with database environments (mainly RDS and DocumentDB), ensuring performance and operational readiness
  • Using AI tools (e.g. ChatGPT, Claude, etc.) to automate, troubleshoot, and code more efficiently

Requirements

  • 3–7 years of relevant experience in a Cloud, DevOps, or Platform Engineering role
  • Hands-on experience with AWS and/or GCP infrastructure and services
  • Experience with containerization platforms like Docker or Podman
  • Proficiency in building CI/CD workflows, especially using GitHub Actions
  • Familiarity with Infrastructure as Code tools (e.g., Terraform, Pulumi, or similar)
  • Basic scripting ability (Python, Bash, etc.) for automation and tooling
  • Awareness of cloud security best practices and willingness to respond to alerts and remediation tasks
  • Comfort supporting cloud-managed databases (SQL and NoSQL) in collaboration with dev teams
  • Enthusiasm for using AI tools to accelerate tasks, write code, and solve technical problems efficiently
  • Proactive, curious, and comfortable working in a fast-moving environment; eager to use modern AI-driven workflows.
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