Forward Deployed Engineer
About The Position
The team develops and delivers commercial-grade AI platforms and applications for critical missions across the Department of Defense, Intelligence Community, civilian agencies, and commercial organizations. Its work spans cyber and AI, including defensive cyber operations, counter-AI, intelligence, agentic AI, and cyber defense. Team members may shape strategy, architect solutions, integrate Booz Allen and commercial products into customer environments, support presales and customer success, and lead forward-deployed engineering activities to integrate AI solutions into production settings. They may also work with industry leaders through strategic collaborations and go-to-market initiatives to establish reusable approaches that help government customers adopt secure, scalable AI capabilities as shared services. The Forward Deployed Engineer deploys and configures an enterprise defense against AI attackers, providing precise alerts for agentic threats and capabilities to deny AI threats. The role works directly with customers to understand their technical environments, implement containerized components and playbooks, and integrate with existing security tools. Responsibilities also include troubleshooting deployments, validating system performance, and translating customer feedback into product and operational improvements.
Requirements
- At least 4 years of experience designing, deploying, and troubleshooting DevOps infrastructure across cloud service providers such as AWS, Azure, GCP, or on-premises environments.
- At least 4 years of experience with container technologies such as Docker, container orchestration, virtual machines, and Infrastructure-as-Code environments.
- At least 3 years of experience with DevOps and automation platforms such as GitLab, GitHub, Jenkins, ArgoCD, or Flux.
- Experience designing, implementing, and maintaining CI/CD workflows and DevOps automation platforms.
- Experience troubleshooting networks and systems in UNIX or Linux environments.
- Experience in front-facing or forward-deployed engineering roles.
- Knowledge of Python, SDLC, Bash scripting, and basic cybersecurity concepts.
- Ability to travel up to 20% of the time.
- Ability to obtain a Secret clearance.
- A bachelor's degree in a computer science or engineering field and at least 2 years of software engineering experience, or at least 6 years of software engineering experience in lieu of a degree.
Nice To Haves
- Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, Jenkins, or Azure.
- Experience creating and improving continuous automation across multiple technical stacks.
- Experience creating and improving continuous deployment tools built on Kubernetes.
- Experience triaging and resolving issues related to open-source and commercial tools in public cloud environments.
- Knowledge of scripting languages such as Python and Linux Shell Script.
- TS/SCI clearance.
- Master’s degree.
Responsibilities
- Deploy and configure an enterprise defense against AI attackers, including capabilities for alerting on agentic threats and denying AI capabilities.
- Work directly with customers to understand their technical environments.
- Implement containerized components and playbooks.
- Integrate solutions with existing security tools.
- Troubleshoot deployments and validate system performance.
- Translate customer feedback into product and operational improvements.
- Design, deploy, and troubleshoot DevOps infrastructure and automation platforms.
- Design, implement, and maintain CI/CD workflows.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
