Cloud Platform Engineer

About the job Job Title Cloud Platform Engineer Overview We are seeking a talented Cloud Platform Engineer to design, secure, and operate the cloud foundation supporting mission-scale AI and large language model workloads. In this role, you will own the cloud landing zones, networking, identity, security, and compliance measures that enable reliable and cost-effective AI services. Join us to leverage your expertise in cloud engineering to shape the future of government technology and make a meaningful impact. Education Requirements A BA/BS degree in Computer Science or a related field is required. Equivalent professional experience may be considered in lieu of a degree. Clearance Requirements This role requires an active Public Trust clearance, or the ability to obtain and maintain one. Candidates must be U.S. citizens and currently reside in the United States. Work Arrangement This is a remote position. Responsibilities Design and operate secure, multi-account/tenant cloud landing zones for AI workloads (Azure primary, AWS secondary), including network segmentation, private connectivity, and egress controls. Provision and manage GPU-optimized compute and storage for training and inference (AKS/EKS GPU node pools, VM scale sets, blob/S3 object storage). Implement Infrastructure as Code with Terraform for all environments; enforce policy-as-code and guardrails. Establish identity, secrets, and access controls (Entra ID/AWS IAM, RBAC, Key Vault/KMS, HSM/PKI). Build observability and SRE practices (metrics, logs, tracing, alerting, runbooks, incident response, SLIs/SLOs). Harden environments for compliance (e.g., FedRAMP/FISMA-style controls), including vulnerability management and continuous compliance monitoring. Enable CI/CD for infrastructure and configuration (GitOps, automated drift detection, change management). Partner with AI Kubernetes Engineers to support reliable LLM deployment strategies (blue/green, canary, rollout/rollback) and capacity planning. Optimize cloud spend for GPU and storage workloads; forecast capacity and implement reservations/savings plans. Document architectures, standards, and operational procedures; contribute to knowledge sharing and training. Required Qualifications At least 8 years relevant professional experience. Strong hands-on cloud engineering experience in one or more of Azure, AWS, GCP, including networking, identity, security, and automation. Expert Terraform skills; proven experience managing production infrastructure via IaC. Experience operating production Kubernetes clusters (AKS/EKS) supporting AI/LLM workloads. Proficiency with containers (Docker) and CI/CD. Solid scripting/programming abilities in Python or similar. Experience implementing observability (metrics, logging, tracing) and on-call operations. Relevant Technologies Cloud: Azure (AKS, VNets, Private Link, ExpressRoute, AML, ACR, Key Vault, Azure Monitor), AWS (EKS, VPC, PrivateLink, CloudWatch, ECR, KMS, Bedrock) IaC: Terraform Containers/Orchestration: Kubernetes, Helm Observability: Prometheus, Azure Monitor, CloudWatch Data: PostgreSQL, Cosmos DB, Redis, Blob/S3 CI/CD and Version Control: GitLab, GitLab CI/CD Why Apply Join a dedicated team leveraging cutting-edge cloud and AI technologies to shape the future of government innovation. This role offers the opportunity to work on impactful projects that push the boundaries of cloud engineering and security. If you’re ready to make a difference and grow your career in a dynamic environment, we encourage you to apply today.