Cloud Engineer (Mid)

• Design, deploy, and maintain infrastructure within AWS GovCloud (US) environments
• Execute lift-and-shit migration of on-premises workloads, including SQL Server databases, application servers, dependent services and integrations
• Analyze and map application dependencies to ensure seamless migration and minimal downtime
• Implement cloud networking components (VPCs, subnets, routing, security groups, NACLs)
• Configure and manage EC2, EBS, load balancers, IAM policies, and backup solutions
• Support high availability, backup, disaster recovery, and failover configuration
• Monitor system performance and troubleshoot infrastructure and application issues
• Apply security best practices aligned with federal compliance requirements
• Produce and maintain detailed technical documentation (architecture diagrams, SOPs, runbooks, migration plans)
• Participate in Agile ceremonies (sprint planning, standups, retrospectives)

• Active Top Secret Security Clearance
• 3-5 years of experience in cloud engineering or related infrastructure roles
• Hands-on experience with AWS GovCloud
• Experience migrating on-premises workloads to cloud environments (lift-and-shift preferred)
• Experience in managing Windows Server environments
• Familiarity with core AWS fundamentals such as: VPC design and networking fundamentals, IAM and least-privilege access controls, backup and disaster recovery strategies
• Working knowledge of infrastructure-as-code (e.g., CloudFormation, Terraform)
• Experience with monitoring and logging tools
• Strong documentation and communication skills
• Experience working in Agile/Scrum environments

• AWS certification (e.g., AWS Solutions Architect – Associate or Professional)
• Experience supporting government cloud environments
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with configuration management tools
• Knowledge of compliance frameworks (e.g., FedRAMP, NIST)

• Successful migration of SQL Server application workloads into AWS GovCloud
• Stable, secure, and well-documented cloud infrastructure
• Minimal downtime and disruption during transition
• Clear documentation for future cloud migrations and audit readiness

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.