Jobs at Booz Allen Hamilton

The Cloud Infrastructure Engineer will oversee cloud architecture and solutions for clients, modernizing IT systems and managing container applications within classified environments.

Lead the end-to-end architecture and modernization of an intelligence-domain remote sensing analysis platform. Design containerized, cloud-ready applications, CI/CD pipelines, data solutions, and standalone or distributed deployments. Guide engineering teams in applying modern architecture, DevSecOps, security, performance, and scalability practices while integrating scientific computing, web technologies, PostgreSQL, Elasticsearch, and AI-assisted development tools.

Develop full-stack features for secure OPIR research and development systems. Build front-end interfaces, backend microservices, APIs, containerized services, cloud deployments, and DevSecOps automation. Integrate data, analytics, and ML pipelines into mission workflows while supporting legacy modernization. Participate in Agile ceremonies, code reviews, troubleshooting, user-centered design, and engineering improvements. The role requires an active TS/SCI clearance, STEM bachelor's degree, and at least four years of full-stack development experience.

Develop and deploy production-grade AI and machine learning capabilities for national security and OPIR missions. Responsibilities include signal-processing automation, data processing, model development, evaluation, MLOps workflows, GPU optimization, streaming-data integration, and scalable deployment in operational environments. The role involves collaboration with engineers, mission subject-matter experts, and product teams, with emphasis on AI agents, NLP, LLMs, computer vision, microservices, and classified cloud environments.

Lead the architecture and delivery of cloud-native, full-stack GEOINT systems and microservices. Develop secure distributed applications, govern AWS and Kubernetes deployments, build DevSecOps pipelines, integrate data and analytics platforms, guide modernization and technical roadmaps, mentor engineers, and partner with mission users. The role requires active TS/SCI clearance and supports classified environments.

Design, develop, and deploy production-grade AI/ML solutions for national security missions, including NLP, LLMs, generative AI, deep learning, and computer vision. Build scalable data pipelines, APIs, microservices, MLOps workflows, and cloud or edge-deployed systems. Optimize and evaluate models, integrate them into secure operational environments, and collaborate with engineering and mission teams. Document technical designs and support accreditation processes in classified settings.

Build end-to-end full-stack features using modern front-end frameworks, backend microservices, APIs, containers, cloud platforms, and DevSecOps pipelines. Support legacy pipeline modernization, integrate data and ML components, troubleshoot across the stack, and collaborate in Agile delivery through planning, reviews, testing, and user-focused design. The role requires an active TS/SCI clearance, STEM bachelor’s degree, and experience with cloud deployment, databases, CI/CD, Docker, Kubernetes, and full-stack development.

Lead the architecture, modernization, and implementation of secure, cloud-native GEOINT applications and microservices. Develop scalable backend services, govern AWS and Kubernetes deployments, implement DevSecOps pipelines, integrate data and search platforms, and guide technical roadmaps. Partner with mission users and engineering teams, mentor developers, conduct code reviews, and evaluate AI technologies. The role requires experience with distributed systems, APIs, databases, cloud infrastructure, classified environments, and an active TS/SCI clearance.

Develop software for remote sensing and OPIR applications, including radiometric modeling, image and signal processing, ML-based detection and classification, scientific Python pipelines, orbital modeling, and imagery preprocessing. Build reproducible environments and collaborate with astrodynamics, operations, and ML teams. The role requires 4+ years of relevant experience, a STEM bachelor’s degree, and an active TS/SCI clearance with polygraph willingness.

Modernize knowledge management and information systems for U.S. Space Command’s security cooperation mission. The role administers and develops SharePoint solutions, builds PowerApps and Power Automate workflows, improves data processes, supports Power BI visualization, and translates stakeholder needs into actionable digital solutions. It also coordinates tasks, engages multinational partners, supports project deliverables, and applies digital transformation best practices.

Architect remote sensing and space domain awareness software systems, including infrared imaging, radiometric models, ML-based detection, multi-sensor fusion, trajectory estimation, and 3D kinematic modeling. Lead technical direction, mentor engineers, and develop scalable scientific computing solutions using Python, C++, CUDA, HPC, and cloud platforms. The role requires remote sensing or GEOINT expertise and an active TS/SCI clearance.

Lead client-facing data science efforts to develop AI/ML solutions (including LLMs/agentic AI), guide teammates, clean and model complex data, evaluate model accuracy, visualize results for leadership, and work on classified networks requiring TS/SCI clearance.

Use data science and quantitative methods to explore, clean, analyze, and visualize large structured and unstructured data sets. Develop and document predictive models and quantitative analyses, and work with clients to translate problems into actionable analytic solutions. Requires collaboration across teams and presentation of findings to stakeholders.

Designs secure cloud-based architectures and communications networks for mission-critical GEOINT applications. Responsibilities include evaluating on-premises, cloud, and hybrid environments; recommending cloud tools and solutions; supporting cloud migrations; ensuring standards; collaborating across the software development lifecycle; and leading teams through complex cloud challenges. The role also involves automation, cloud security, infrastructure and configuration as code, and deployment across hybrid or multi-cloud environments.

Develops and maintains realistic virtual and physical cyber range environments supporting Space Force cyber personnel. Builds Infrastructure-as-Code solutions, administers virtualization platforms, Linux and Windows systems, Active Directory, networking, containers, SIEM tools, and cybersecurity automation. Applies MITRE ATT&CK and cyberspace operations expertise to identify vulnerabilities and develop defensive solutions. The role requires independent technical work, mentoring, and supervision of team members.

Analyze cyber threats to U.S. critical infrastructure using classified and unclassified all-source intelligence. Produce strategic intelligence assessments, investigate significant cyber events, detect threats across IT and industrial control system networks, and brief policy and operational decision-makers. Apply Intelligence Community tradecraft, ICD 203 standards, structured analytic techniques, and production coordination processes while supporting cyber operations and collaborating with government and industry partners.

Monitors and analyzes cyber threats across enterprise and mission-critical networks in a 24/7 operations center. Performs threat detection, event correlation, incident response, vulnerability mitigation, reporting, escalation, and operational briefings. Uses tools such as Splunk, HBSS, Microsoft Defender, Security Onion, ACAS, SIGACT, and RALLY. Supports defensive cyberspace operations, network defense, situational awareness, and coordination with enterprise cyber defense partners.

Manage, administer, support, and improve AWS cloud environments and Army integrated systems. Troubleshoot cloud infrastructure and CI/CD issues, develop enterprise cloud-native solutions, automate deployments, and resolve networking, compute, storage, and memory problems. The role requires collaboration, independent problem-solving, mentoring, a Secret clearance, and an approved security certification.

Manage Tier 3 incidents, troubleshoot machine learning and AI infrastructure, and support cloud software systems for the Intelligence Community. Develop and maintain MLOps ecosystems, assist with ML lifecycle operations, handle incident workflows, conduct testing and evaluation, and create knowledge-base documentation and escalation paths. The role may also involve developing LLM prompts, tools, agents, and automated data and ML pipelines using cloud, containerization, and infrastructure-as-code technologies.

Build and maintain scalable data platforms and pipelines for mission-driven clients. Responsibilities include Linux administration, large-scale data engineering, security operations data pipelines, cloud and disconnected-environment deployments, configuration management, log analysis, performance troubleshooting, and collaboration with multidisciplinary agile teams. The role requires Top Secret clearance and familiarity with cybersecurity frameworks, zero trust principles, and controlled classified environments.