Top Tech Jobs & Startup Jobs

Leads infrastructure architecture, engineering, deployment, and operational readiness for offices and secure government environments. Translates program requirements into technical designs, budgets, procurement plans, and delivery schedules. Coordinates IT, Security, Facilities, vendors, and technical teams while designing classified, CUI, and unclassified environments. Provides hands-on leadership across networking, systems administration, virtualization, cloud, automation, compliance, testing, documentation, and ongoing support. Requires active Top Secret clearance and regular onsite work.

Reverse engineer compiled software and embedded systems for government and critical infrastructure customers. Responsibilities include vulnerability discovery, C/C++ development in kernel and userland environments, Python development, firmware extraction, hardware analysis, debugging with GDB and JTAG, fuzzing, automated testing, and applying AI/ML to reverse-engineering workflows. The role requires active TS/SCI clearance with full-scope polygraph and is primarily onsite in Arlington, Virginia.

Build and operate secure, scalable infrastructure and CI/CD pipelines for enterprise AI applications across cloud, on-premises, air-gapped, and classified environments. Manage Docker and Kubernetes platforms, AI model lifecycle workflows, identity and policy guardrails, observability, monitoring, and system performance. Collaborate with AI/ML engineers and data scientists, support RMF/ATO accreditation, and continuously improve DevOps processes and tooling for USCYBERCOM’s AI Enterprise.

Design and integrate production AI/ML systems for USCYBERCOM, including LLM agents, orchestration workflows, model routing, RAG pipelines, vector databases, MCP tool integrations, evaluation frameworks, and governance guardrails. Partner with data scientists and mission analysts to transition prototypes into secure, enterprise-scale capabilities while evaluating emerging AI technologies and managing operational risks.

Reverse engineer compiled code, applications, operating systems, embedded systems, and hardware to identify vulnerabilities and develop security tools. Responsibilities include C/C++ kernel and userland development, Python server and binary-stream processing, firmware extraction, black-box analysis, debugging with GDB and JTAG, fuzzing, test automation, and applying AI/ML to reverse-engineering workflows. The role supports intelligence, defense, and justice customers and requires a current Top Secret clearance.

Lead development of computer network exploitation tools and capabilities for government and critical infrastructure missions. Research operational concepts, support exploitation of commercial networks and computer systems, analyze shell scripts, binaries, and source code, and document technical work. Collaborate with end-users to define requirements and manage the full CNE software development lifecycle. The role requires strong CLI, scripting, collaboration, and network analysis skills.

The Senior Data Scientist will develop data pipelines for AI applications, optimize data structures, manage databases, and ensure data quality and security.

Develop and integrate advanced Cyber Network Operations (CNO) tools, provide embedded operational support, rapid prototyping, vulnerability research, and software development (design, test, debug). Document findings, present results, manage risks and priorities, and support mission execution in fast-paced government cyber environments.

Lead the development of cyber-physical simulation environments, design modeling frameworks, and ensure compliance with defense standards while managing teams.

Lead end-to-end systems engineering for cyber capability development, producing architecture and design documentation, guiding implementation, coordinating with government stakeholders, and delivering technical briefings and integration/test plans to ensure secure mission outcomes.