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Booz Allen Hamilton · 7 hours ago

Google Cloud Platform Architect and Engineer

Bethesda, MD

Full-time

Hybrid

Senior Level

$113K/yr - $257K/yr

7+ years exp

Booz Allen Hamilton is seeking an experienced cloud computing and DevOps architect to oversee a team and guide clients in modernizing their IT infrastructure. The role involves architecting multi-cloud solutions, collaborating with engineers, and managing container apps to solve client challenges, particularly in the healthcare sector.

ConsultingCyber SecurityIT InfrastructureManagement ConsultingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Oversee our team of experts and use cutting-edge enterprise cloud platforms to guide your clients as they modernize their Information Technology (IT) infrastructure and meet their most challenging missions

Collaborate closely with fellow architects and engineers to architect, build, and deliver multi-cloud solution components

Broaden your experience within a DevOps framework to lead, build, and manage container apps and use products like Kubernetes to further the mission

Explore different ways of solving our client’s challenges

Partner with stakeholders and lead your team to deliver and scale the right technical solutions

Modernizing legacy computing platforms and applications

Building new ones from scratch

Leading continuous integration and deployment

Qualification

Google Cloud PlatformCloud architectureDevOps best practicesInfrastructure as CodeContainerizationAWS servicesHealthcare domain experiencePublic TrustBachelor's degreeCommunication skills

Required

7+ years of experience in cloud architecture with GCP, including FedRAMP and FedRAMP+ environments

5+ years of experience leading multi-disciplinary solutioning for cloud-based efforts, including automation, observability, and monitoring

Experience leading architecture for large engagements, including legacy migration and cloud system deployments

Experience designing and implementing scalable, reliable, and secure cloud-based systems in GCP

Experience with GCP cloud-native data and AI services leveraging serverless architectures for data processing such as BigQuery, Dataplex, Vertex, and Gemini

Experience with DevOps best practices, including reusable Infrastructure as Code (IaC) with GitOps and Terraform, continuous integration or continuous delivery (CI/CD), and containerization or orchestration with Docker and Kubernetes, or Google Kubernetes Engine (GKE)

Knowledge of security and compliance requirements for cloud-based solutions, network architecture, and security principles

Ability to work collaboratively with cross-functional teams

Public Trust

Bachelor's degree