Full Stack Software Engineer (Tech Lead)
Overview
We're looking for a Full Stack Tech Lead with deep expertise across the frontend (React, TypeScript, CSS, HTML) and backend (C# / .NET, Entity Framework (or Java Spring Boot), relational databases) stack to lead our logistics app team. Beyond hands-on coding, you'll own the systems architecture for a scalable data ingest pipeline spanning edge and cloud environments. You'll set technical direction, mentor frontend and backend engineers, and drive systems design decisions across the platform. Working closely with product owners, designers, and fellow engineers, you'll iterate quickly on features, improve performance, and build out a secure, scalable platform for real-world military and government users.
This role blends technical leadership, architectural ownership, and hands-on coding, spanning everything from UI workflows to distributed backend services to deployment automation.
Who We AreWe’re not here to maintain the status quo, we’re here to rewrite it and innovate at the pace of need. Our team is laser-focused on creating cutting-edge RFID solutions for the DoD that bring passive and active RFID tech to life, solving tough integration challenges across global sites. We're a no-bench, get-after-it kind of company where initiative is rewarded, and innovation is our default setting. If you’re ready to dive in, take ownership, and ship real value, keep reading.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
What You'll Do
- Own the end-to-end systems architecture for a scalable, resilient data ingest pipeline spanning edge and cloud, built on Redis, RabbitMQ, and custom services.
- Lead and mentor a team of frontend and backend engineers, guiding technical decisions, conducting code reviews, and establishing best practices and documentation.
- Drive full-stack systems design decisions, from distributed data flows and message queuing to API architecture, data models, and UI component structure.
- Lead an AI-enabled development team, owning the guardrails, validation layers, end-to-end tests, and supporting systems that keep AI-assisted output safe, reliable, and production-grade.
- Break down product and design requirements into clear, workable, well-scoped engineering tasks and distribute them effectively across the team.
- Build intuitive, responsive front-end experiences using React and modern component libraries, translating requirements into clean, reusable UI components.
- Write clean, secure back-end services using C# / .NET, with a focus on REST APIs, modular design, and optimized data access layers using Entity Framework.
- Collaborate across design, product, DevSecOps, and field teams to launch features quickly and securely.
- Drive rapid prototyping cycles while enforcing production-grade coding standards across the team.
- Champion automated testing and code quality gates by writing and reviewing unit, integration, and end-to-end tests.
- Troubleshoot bugs, squash performance bottlenecks, and help build toward FedRAMP and IL5 deployment requirements.
Qualifications
What We're Looking For
- 6+ years of relevant software engineering experience, including prior experience leading or mentoring engineers.
- Demonstrated ownership of systems architecture and design for distributed, scalable systems—ideally data ingest or streaming pipelines spanning edge and cloud environments.
- Hands-on experience with distributed systems components such as Redis, RabbitMQ (or comparable message brokers), and custom service development.
- Experience leading an AI-enabled development team, including owning the guardrails, validation, end-to-end testing, and support systems needed to safely and reliably ship AI-assisted work.
- Full stack proficiency across frontend and backend, with demonstrated ability to make architectural decisions spanning both.
- Strong frontend skills: React (component design, hooks, modern front-end patterns), JavaScript/TypeScript, and a solid grasp of HTML, CSS, and responsive design principles.
- Strong backend skills: C# and modern .NET, with hands-on experience in Entity Framework and relational databases, plus a solid understanding of SQL, indexing, and query optimization.
- Familiarity with dependency injection, async/await, and LINQ.
- Deep understanding of systems design and the relationship between frontend and backend systems, including state management, REST APIs, async data fetching, and event-driven/asynchronous messaging patterns.
- Experience with testing tools across the stack (e.g., Jest, Vitest, React Testing Library) and a track record of building automated validation and end-to-end testing into delivery.
- Proven ability to turn product and design requirements into workable, well-scoped engineering tasks.
- Familiarity with secure software development practices and CI/CD pipelines (GitHub Actions, GitLab, etc).
- Comfortable leading in Agile or Lean environments, with rapid delivery cycles and direct user feedback loops.
- US Citizenship with the ability to obtain and maintain a government security clearance. Active Secret or TS clearance preferred
Bonus Points For:
- Hands-on work with secure government environments (DoD, IL5+, FedRAMP).
- Experience building logistics, supply chain, or asset tracking applications.
- Certifications like Security+ and AWS Developer/Architect.
- Past experience at a startup or in rapid-growth teams.
Target Salary Range: $130,000 - 200,000
Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
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