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.