Top Tech Jobs & Startup Jobs

Tests and evaluates DoD and Air Force systems against NIST 800-53 security controls. Analyzes architecture, data flows, mandatory and discretionary access controls, and system security. Automates tasks using Linux scripting, supports test plans and technical documentation, and may perform penetration testing, threat emulation, and vulnerability assessments. Requires Secret clearance, travel up to 25%, and the ability to obtain DoD IAT Level II Security+ CE certification.

Leads Cloud Operations across classified and unclassified DoD environments, including IL5 and IL6 AWS or Azure platforms. Oversees cloud infrastructure operation, maintenance, monitoring, security, incident resolution, system administration, vulnerability remediation, configuration management, performance, and compliance. Leads and mentors operations personnel, establishes standards, supports RMF and ATO requirements, and collaborates with cybersecurity, architecture, DevSecOps, and application teams to maintain secure, reliable production environments.

Develops and maintains data applications, scalable ETL/ELT workflows, and pipelines for structured and unstructured data. Designs, builds, and manages analytics solutions while collaborating with analysts, developers, data engineers, and data consumers in an agile environment. The role requires programming and querying expertise, data processing experience, a bachelor's degree, and Secret clearance.

Build and deploy scalable data pipelines and platforms that organize structured and unstructured data. Responsibilities include ETL development, data platform design and maintenance, analytical exploration, database integration, automation, and collaboration with analysts, developers, data scientists, infrastructure engineers, and data consumers in agile, mission-driven environments.

Design, train, test, deploy, and maintain AI models and agentic workflows (LLMs, RAG). Collaborate with data engineers, scientists, architects, and product owners to build secure cloud data foundations (AWS), event-driven integrations, and MLOps/DevSecOps pipelines for Air Force mission solutions. Requires Secret clearance.

Lead PostgreSQL-to-Oracle and OCI database migrations from discovery through stabilization. Design Oracle AI Database 26ai and multimodal solutions, develop SQL and PL/SQL, execute data movement and reconciliation, optimize performance, create migration testing and cutover plans, and document operational procedures. Collaborate with database, application, cloud, security, and customer teams to deliver secure, reliable modernization solutions.

Designs, integrates, tests, and sustains secure architectures for Navy and Marine Corps systems. Responsibilities include systems security engineering, RMF authorization, vulnerability scanning and remediation, risk assessments, zero-trust implementation, compliance with DoW security standards, and coordination with IT, risk, operations, engineering teams, and OEMs. The role develops mitigation strategies, security plans, and resilient mission systems across the platform lifecycle.

Develops and implements full-stack software solutions from concept through production using agile methods. Designs, modifies, and enhances applications; writes front-end and back-end code; solves complex technical and workflow problems; evaluates architecture and operating environments; collaborates with cross-functional teams; and identifies system improvements. The role requires DHS suitability and participation in a government investigation and skills assessment.

Develops algorithms, predictive models, quantitative analyses, and visualizations from structured and unstructured data. The role involves data exploration, cleaning, mining, and statistical analysis using R or Python, with applications of machine learning, artificial intelligence, and natural language processing. Candidates support sustainment analysis using reliability engineering metrics and methods, potentially across naval and defense platforms, while maintaining or obtaining Secret clearance.

Design, develop, deploy, and support production-grade AI agents and applications. Build agent architectures with orchestration, tool use, state management, evaluation, observability, and secure operations. Integrate enterprise and geospatial data with large language models using RAG and MCP. Develop Python, SQL, R, RESTful services, Node.js applications, dashboards, and Oracle Database integrations while collaborating with technical and mission stakeholders.