Cloud Platform Engineer

Booz Allen Hamilton•Charleston, SC

About The Position

Cloud Platform Engineer The Opportunity: As a Platform Engineer, you will build and operate cloud infrastructure and Kubernetes platforms supporting AI-enabled applications for the federal civilian sector. You’ll have the opportunity to shape how we deliver modern cloud solutions while exploring how AI can transform platform engineering itself. This role blends infrastructure ownership, developer enablement, and innovation. You’ll work across the full stack, from provisioning cloud resources and managing deployments to improving our tooling and automation. If you enjoy building reliable systems, solving interesting problems, and staying current with emerging technologies, this is an exciting opportunity. Join us. The world can’t wait.

Requirements

4+ years of experience in platform engineering, DevOps, or Site Reliability Engineering (SRE), supporting production-grade systems
2+ years of experience with AWS, including services such as EKS, EC2, RDS, Lambda, S3, IAM, VPC, Route 53, Certificate Manager, and Secrets Manager
1+ years of experience operating Kubernetes clusters in production
Experience with Infrastructure as Code (IaC) using Terraform, including cloud networking and security fundamentals
Experience with Kubernetes and containers, including Helm chart deployment or maintenance, container image management, and troubleshooting
Experience with GitOps and CI/CD practices, leveraging tools such as ArgoCD or Flux, and building pipelines with GitHub Actions
Experience with automation and scripting in languages such as Python or Bash, debugging, Git workflows, and version control best practices
Ability to work independently in a self-directed environment and learn new technologies
Bachelor’s degree in CS
Ability to obtain an AWS Solutions Architect – Associate Certification within 6 months of start date

Nice To Haves

1+ years of experience with Amazon EKS
Experience with AI/ML and emerging cloud services, including AWS Bedrock or similar managed AI platforms
Experience with serverless architectures such as AWS Lambda and API Gateway, including event-driven design patterns
Experience with monitoring and observability tooling, including Prometheus, Grafana, Datadog, CloudWatch, or OpenTelemetry
Experience with cost-optimization, including identifying inefficiencies and implementing cloud cost-control best practices
Experience in federal or government contracting environments, including working with FedRAMP, FISMA, or similar compliance frameworks
Experience in AIOps and intelligent automation, including LLMs to enhance DevOps workflows
Knowledge of service mesh technologies such as Istio, Linkerd, or Cilium, for traffic management and service security
Possession of excellent communication, collaboration, and problem-solving skills
Advanced Cloud or Kubernetes Certifications such as AWS Solutions Architect – Professional or Certified Kubernetes Administrator (CKA) Certification

Responsibilities

Build and operate cloud infrastructure and Kubernetes platforms supporting AI-enabled applications
Shape how we deliver modern cloud solutions
Explore how AI can transform platform engineering
Provision cloud resources
Manage deployments
Improve our tooling and automation