Cloud Engineer
Booz Allen Hamilton14 days ago
McLean, VA, USAMid Level
H1B sponsor
Base Salary
$87k - $198k/yr
Responsibilities
- Design, build, and operate secure cloud platforms and reusable tooling for generative AI, machine learning, and AI-enabled applications.
- Implement infrastructure as code and automation for provisioning, configuration, model endpoint deployment, and environment promotion.
- Develop services and integrations for foundation model access, prompt management, retrieval-augmented generation, vector search, agent tools, and API gateways.
- Create CI/CD, MLOps, and GenAIOps workflows for testing, evaluation, release management, rollback, and traceability.
- Implement security controls including least-privilege access, secrets management, encryption, network isolation, audit logging, content safeguards, and policy enforcement.
- Build observability for infrastructure, applications, model endpoints, and agents, including availability, latency, errors, token usage, cost, retrieval quality, and output quality metrics.
- Evaluate cloud and AI services, models, frameworks, and tools based on mission fit, security, performance, reliability, interoperability, and cost.
- Optimize AI workloads for scalability, resiliency, inference performance, and cloud cost efficiency.
- Collaborate with customers, developers, data scientists, security teams, and platform teams to translate requirements into supported technical solutions.
- Troubleshoot customer issues, conduct technical support sessions, identify root causes, and provide timely resolutions.
- Create and maintain reference architectures, technical documentation, runbooks, knowledge base articles, and onboarding materials.
Requirements
- At least 3 years of experience developing and operating cloud solutions using Python and AWS, Azure, or GCP.
- At least 2 years of experience in customer-facing technical support, platform engineering, or solutions engineering.
- At least 1 year of experience implementing or supporting AI, machine learning, or generative AI solutions in a cloud environment.
- Experience with managed AI platforms and services such as Amazon Bedrock, Amazon SageMaker AI, Microsoft Foundry, Azure Machine Learning, Azure OpenAI, or Vertex AI.
- Experience with infrastructure as code and CI/CD tools such as Terraform, AWS CloudFormation, AWS CDK, Bicep, GitHub Actions, GitLab CI, Azure DevOps, or Jenkins.
- Experience with containers and orchestration technologies such as Docker, Kubernetes, Amazon EKS, Azure Kubernetes Service, or Google Kubernetes Engine.
- Experience with cloud networking, identity and access management, secrets management, encryption, logging, monitoring, and secure software delivery practices.
- Knowledge of multi-account, multi-subscription, or multi-tenant cloud architectures and workload and data isolation methods.
- Bachelor’s degree in Computer Science, Engineering, or Information Systems.
- U.S. citizenship is required.
- Preferred experience includes production retrieval-augmented generation, AI agents, tool integrations, workflow orchestration, Model Context Protocol solutions, LLMOps, MLOps, GenAIOps, responsible AI, regulated or restricted cloud environments, API management, event-driven architecture, serverless computing, data pipelines, vector databases, FinOps, technical training, and service management frameworks.
- Preferred certifications include ITIL Foundation, AWS Certified Generative AI Developer - Professional, AWS AI Practitioner, Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Machine Learning Operations Engineer Associate, Google Cloud Professional Machine Learning Engineer, and cloud security or networking specialty certifications.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care support.
- Recognition awards for exceptional performance and demonstration of company values.
- Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for the company’s benefit programs, with select benefits available below that threshold.
- The position is hybrid in McLean, Virginia, with work expected at a Booz Allen or customer facility according to leadership expectations and role needs.
Tech Stack
AWSAzureDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformJenkinsKubernetesLinuxPythonTerraformWindows
Categories
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).