legacy-system-modernization jobs in San Diego

As a Senior Solutions Architect, you will lead complex enterprise-scale NAVWAR technology programs spanning systems engineering, product development, cloud architecture, AI, and data modernization. You'll provide technical and programmatic leadership across cross-functional teams, translate operational requirements into technical strategies and roadmaps, manage system integrations, and deliver secure, scalable capabilities for mission-critical operational systems.…See more The role requires 15+ years in systems engineering, technical program management, product management, or software engineering, with proven experience managing defense technology programs, system-of-systems engineering, and operating in highly-regulated, classified environments.

This role requires a seasoned systems architect with 10+ years of experience to translate U.S. Navy IT requirements and strategic goals into comprehensive communications architectures, design specifications, and technical roadmaps.…See more You will specialize in space/land-based communications, RF spectrum operations, waveform modernization, and Positioning Navigation & Timing (PNT) systems, while guiding cloud migrations, legacy system modernization, and advanced technology integration. The position demands expertise in capability assessments, operational planning, requirements analysis for complex DoN systems, and risk management, along with the ability to mentor junior developers and brief senior military leadership. A TS/SCI clearance and bachelor's degree are required; relevant certifications (MCSA/MCSE, CCNA/CCNP, IAT Level II) and a master's degree are preferred.

Senior AI Software Engineer responsible for designing, developing, and deploying LLM-powered applications and AI-assisted development workflows within a large-scale enterprise Linux environment (~6M+ LOC, primarily C/C++). Build high-performance GPU-based inference pipelines using vLLM and modern frameworks, develop agentic AI workflows with RAG and tool calling, and integrate LLMs with vector databases and enterprise systems into production.…See more Collaborate across software engineers, AI researchers, and platform teams to productionize AI services while optimizing for performance, latency, scalability, and operational efficiency. Requires 4+ years software development, strong Linux/Red Hat experience, advanced C/C++, Python, LLM/RAG expertise, and GitLab CI/CD workflows.