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Develop computer network operations capabilities across full project life cycles. Lead Agile teams conducting reverse engineering and vulnerability analysis, develop complex Windows and UNIX applications, and manage software design, development, testing, validation, and deployment. Apply embedded development, network operations expertise, and artificial intelligence and machine learning to address advanced adversaries and support national security missions.

The Cloud Infrastructure Architect will design and manage cloud solutions using AWS, collaborate with engineers, and support clients in modernizing IT infrastructure.

Architects, deploys, and configures data security solutions for federal, DoD, and IC clients. Designs Zero Trust architectures, develops custom policies for hybrid cloud data control, and interfaces with agency stakeholders and internal engineering teams. Documents technical architectures and applies DSPM, DLP, data labeling, and tagging technologies. Requires TS/SCI clearance and experience with data security tools.

Perform software reverse engineering and technical intelligence analysis for DoD clients. Disassemble and analyze software and firmware, evaluate computer and network technologies, identify vulnerabilities, and assess weapon systems, C4 networks, circuit boards, processors, DSPs, and FPGAs. Conduct S&TI research and produce intelligence assessments aligned with IC standards. Apply cyber-kill-chain and offensive-technique knowledge to identify cybersecurity issues.

Perform advanced digital network exploitation and SIGINT analysis to identify vulnerabilities, map networks, analyze protocols/dataflow, support offensive cyberspace operations, and produce analytic findings for national security customers.

Lead and develop a team of five experienced data engineers building enterprise data pipelines and products in Databricks. Own delivery commitments, technical roadmaps, stakeholder communications, architecture guidance, engineering standards, and DataOps practices. Improve CI/CD, testing, data quality, observability, production support, scalability, and platform governance while translating business priorities into executable plans and fostering autonomous, accountable engineering teams.

Architect and lead the delivery of scalable multi-cloud AI platforms, agentic workflows, API-driven applications, event-based systems, and Lakehouse architectures across Azure and AWS. Establish API governance, multi-cloud LLM routing, observability, infrastructure provisioning, and end-to-end ML lifecycle practices. Guide RAG, vector search, ontology-driven systems, and traceable ML deployments while mentoring technical teams and supporting public-health mission needs.

Test and evaluate Department of Defense systems for Air Force clients against NIST 800-53 security controls. Analyze system architectures, data flows, Mandatory and Discretionary Access Controls, and cybersecurity capabilities. Use Linux, scripting, networking, and virtualization skills to automate tasks and support testing. Preferred work includes executing test plans, analyzing technical documentation, penetration testing, threat emulation, vulnerability assessment, and system hardening. Travel up to 25% is required, along with Secret clearance and Security+ CE certification eligibility.

Build and maintain Palantir Foundry data pipelines, ontologies, applications, workflows, and decision-support capabilities for defense missions. Translate stakeholder needs into technical architectures, integrate structured and unstructured data, troubleshoot production systems, and support client deployments. Collaborate with engineers, analysts, product owners, and mission stakeholders while applying testing, version control, documentation, and deployment best practices. The role requires client-site travel and eligibility for a Secret clearance.

Designs, builds, operationalizes, and maintains enterprise-scale data applications and scalable ETL/ELT workflows. Develops systems for collecting, ingesting, storing, processing, modeling, warehousing, and retrieving structured and unstructured data. Integrates Generative AI, LLM-based workflows, and agentic automation into secure mission systems supporting Intelligence Community objectives. Collaborates with data scientists, analysts, software developers, and stakeholders in Agile environments.