Jobs at Innovative Defense Technologies (IDT)

Senior IT Systems Engineer leading a team of systems and network engineers to maintain Linux and Windows computing infrastructure supporting Naval tactical systems testing. Responsibilities include IT infrastructure assembly and troubleshooting, virtualization management (VMware/OpenShift), security compliance (DISA STIG, RMF), hardware evaluation and procurement, and on-site support for DoD/Navy labs.…See more Requires 7+ years IT infrastructure experience, networking fundamentals (TCP/IP, routing, switching, firewalls), and virtualization expertise; DoD/Naval systems background and Security+ or CCNA certification are preferred.

This Systems Engineer role supports Naval tactical applications and the Navy's combat systems through IT infrastructure configuration management, hardware/software integration, and technical support. The engineer will work with cross-functional teams on requirements, design documentation, test events, and platform integration while adhering to government security and reliability standards.…See more Required experience includes IT system production planning, network architecture, platform integration, STIG hardening, and core networking concepts (TCP/IP, routing, firewalls). Preferred skills include DoD/Naval systems experience, container technologies (Docker, Kubernetes), Linux administration, scripting (Python, Bash, PowerShell), and automation tools (Jenkins, Ansible).

Frontend Developer for a defense contractor's Integrated Mission Systems team, based in San Diego. The role focuses on designing, building, testing, and delivering secure software solutions for DoD mission-critical systems using React and modern JavaScript.…See more Responsibilities include collaborating with cross-functional engineering teams, developing front-end and back-end features, maintaining CI/CD pipelines with Jenkins, containerizing applications with Docker and Kubernetes, and adhering to DoD security and performance standards.

Chief AI Subject Matter Expert leading the development of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards for defense applications. The role requires 15+ years of experience with generative AI, LLMs, and agent-based development workflows, including hands-on use of tools like GitHub Copilot and Claude for code generation and automation.…See more Responsibilities include prototyping emerging AI tooling, mentoring engineering teams on AI integration, designing secure production AI solutions, and identifying opportunities to accelerate the software lifecycle through AI and automation. Must demonstrate expertise in LLM APIs, RAG architectures, vector databases, prompt engineering, and AI-specific security considerations in classified/sensitive environments.

This Systems Engineer role supports Navy tactical applications and Integrated Mission Systems, requiring IT infrastructure configuration management, hardware/software integration, and technical documentation. The engineer will organize and support test events integrating IDT software with Navy combat systems, develop design documentation and end-user training, and enforce standards and procedures for internal teams and external customers.…See more Required: Bachelor's degree in engineering/CS/related field plus 3+ years in IT system production planning, network architecting, platform integration, STIG/system hardening, or networking fundamentals. Preferred: DoD/Naval systems experience, Linux/Windows administration, container technologies (Docker, Kubernetes), Cisco devices, scripting (Python, Bash, PowerShell), and automation tools (Jenkins, Ansible).

The Chief AI Subject Matter Expert will lead the design and deployment of intelligent data processing pipelines, NLP systems, and AI-enabled dashboards while mentoring engineering teams on generative AI integration into development workflows. This role requires 15+ years of professional experience with expert-level knowledge of LLM APIs, RAG architectures, agent-based development, and prompt engineering, combined with the ability to evaluate AI-generated code for security and correctness.…See more The candidate will prototype emerging AI tooling, identify software lifecycle acceleration opportunities through AI and automation, and architect production AI solutions that measurably improve user experience and productivity. Strong emphasis on security, compliance, and secure SDLC practices, particularly for sensitive or classified defense environments.

A Software Engineer will design, build, test, and deliver secure, mission-critical software solutions for the U.S. Department of Defense, working with cross-functional teams to develop front-end and back-end features.…See more The role requires proficiency in multiple programming languages (C++, Python, Java, JavaScript), version control (Git), containerization (Docker, Kubernetes), relational databases (SQL/Postgres), and Linux systems, with additional value from front-end frameworks like React, DevSecOps practices, cloud/virtualization expertise, and scripting automation. The engineer will maintain CI/CD pipelines using Jenkins, integrate third-party software, and adhere to DoD and industry security and reliability standards.

Software Engineer will design, build, test, and deliver secure, mission-critical software solutions for the U.S. Department of Defense.…See more The role requires proficiency in multiple programming languages (C++, Python, Java, JavaScript), container technologies (Docker, Kubernetes), version control (Git), and modern frontend frameworks (React), with responsibilities spanning full-stack development, CI/CD pipeline management via Jenkins, and integration of complex systems. Candidates must hold or be able to obtain an active Secret U.S. Security Clearance and work on-site in San Diego, CA.

Senior AI Subject Matter Expert responsible for developing intelligent data processing and NLP pipelines, AI-enabled dashboards, and proofs-of-concept for AI use cases. The role requires 7+ years of professional experience with advanced expertise in LLM APIs, RAG architectures, agent-based development, generative AI coding tools, and secure AI deployment patterns.…See more Responsibilities include prototyping emerging AI developer tooling, mentoring engineering teams on generative AI workflows, and identifying software lifecycle areas that can be accelerated through AI and automation. The candidate must critically evaluate AI-generated code for correctness and security, understand AI-specific security risks across the full SDLC, and scope requirements for engineering solutions that meet business challenges with measurable outcomes.

This Software Engineer role involves scoping and defining requirements, designing and implementing solutions using modern programming languages and technology stacks, and ensuring quality through secure coding practices and rigorous testing. Candidates will work on distributed systems, develop software interfaces across network protocols, integrate components into complex environments, and support both IDT labs and on-site customer deployments.…See more The role requires 3–5+ years of experience, a strong foundation in object-oriented programming, data structures, algorithms, and design patterns, and the ability to convert customer requirements into technical solutions. Preferred qualifications include expertise in AI/Generative AI engineering, platform/cloud architecture, APIs, containerization, databases, version control, and application security.

Software Engineer responsible for scoping and defining requirements, designing and implementing solutions using modern programming languages and technology stacks, and ensuring quality through secure coding practices and testing. The role involves converting customer requirements into refined visions, developing software interfaces across network protocols, integrating components into complex environments, and supporting both lab and on-site customer testing.…See more Requires 3–5+ years of relevant experience, strong understanding of SDLC, object-oriented programming, distributed systems, algorithms, and data structures. Travel up to 10% required.