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Cloud Engineer – AWS GovCloud & Databricks Platform

Remote Full-time Now Hiring

Cloud Engineer – AWS GovCloud & Databricks Platform Location: Remote Work Duration: 12 Month Immediate Start Role Overview We are seeking a Cloud Engineer to design, implement, and operate secure, scalable, and compliant cloud platforms on AWS GovCloud. The role will focus on Databricks platform engineering, infrastructure automation, networking, security, CI/CD, governance, and operational excellence to support enterprise-scale Data, Analytics, and AI workloads.

Key Responsibilities

  • Design and deploy AWS cloud infrastructure using Infrastructure as Code (Terraform).
  • Build and manage Databricks environments across Development, Staging, and Production.
  • Implement secure networking architectures including VPCs, PrivateLink, Transit Gateway, Direct Connect, Security Groups, and NACLs.
  • Configure and manage IAM, AWS IAM Identity Center, SSO, SCIM, and role-based access controls.
  • Implement encryption and secrets management using AWS KMS and AWS Secrets Manager.
  • Develop and maintain CI/CD pipelines using GitHub Actions, GitLab CI/CD, or AWS CodePipeline.
  • Deploy and manage Databricks Asset Bundles (DAB), cluster policies, SQL Warehouses, Unity Catalog, and Delta Lake workloads.
  • Support data engineering, ML, and AI platform deployments in Databricks.
  • Implement governance, audit logging, monitoring, and compliance controls aligned with enterprise and GovCloud requirements.
  • Troubleshoot infrastructure, platform, networking, and deployment issues.
  • Collaborate with Data Engineers, Platform Engineers, Security Teams, and Architects to deliver enterprise cloud solutions.

Required Skills Cloud & Infrastructure

  • AWS (EC2, S3, VPC, IAM, KMS, CloudWatch, Lambda, Direct Connect, Transit Gateway)
  • AWS GovCloud experience preferred
  • Infrastructure as Code (Terraform)

Databricks

  • Databricks Administration
  • Unity Catalog
  • Delta Lake
  • Databricks Workflows
  • Cluster Policies
  • SQL Warehouses
  • MLflow (preferred)

DevOps & Automation

  • GitHub Actions / GitLab CI/CD / CodePipeline
  • Docker
  • Kubernetes (EKS preferred)
  • Bash / Python scripting

Security & Governance

  • IAM & RBAC
  • Secrets Management
  • Audit Logging
  • Compliance & Security Best Practices
  • Policy-as-Code (tfsec, Checkov)

Good to Have

  • AI/ML Platform experience
  • Databricks Certifications
  • AWS Certifications
  • Experience with Delta Sharing and Data Governance
  • Experience working in regulated industries (Defense, Aerospace, Healthcare, Financial Services)

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • AWS Certified Solutions Architect / SysOps / DevOps Engineer preferred.
  • Databricks Certified Associate or Professional certifications are a plus.