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LMI

Lead Full-Stack Software Engineer - Clearance Required

United States

Target salary range is $163020.95 - $280944.38

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Job details

Pay: Target salary range is $163020.95 - $280944.38
Apply by: Nov 9, 2027
Posting language: English
Posted: Nov 9, 2026

Original job description

Overview

LMI is hiring a Lead Full-Stack Software Engineer to set technical direction and build software for national security users. You will write and review production code, make architecture decisions, and guide a small team through unfamiliar customer environments. You will have direct responsibility for turning an ambiguous need into a scoped build, a working capability, and a practical delivery handoff.

You will join a multidisciplinary team within LMI's National Security organization. Work spans technical discovery, rapid prototypes, and selected deployments through initial operational use. The team develops reusable capabilities and transfers them to LMI program or product teams for sustained delivery.

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

Work with mission users and business leaders to assess technical feasibility, define success, and scope prototypes and initial deployments.
Design applications across user interfaces, services, data, and integrations. Choose approaches that fit the customer's environment and delivery constraints.
Write production code and guide implementation through code review, pairing, and practical technical decisions.
Establish testing, release, observability, and documentation practices that support rapid iteration and reliable operation.
Partner with AI, data, design, and platform security specialists to integrate capabilities and resolve deployment risks.
Support customer demonstrations, initial operation, and troubleshooting.
Package reusable components and transfer code, deployment instructions, and operating knowledge to the enduring sustainment teams.

Qualifications

Required Qualifications

A record of owning architecture and delivery for production applications while remaining a substantial contributor to the code.
Strong full-stack engineering skills, including TypeScript and React or comparable frontend technologies, and production backend development in Python or Node.js.
Depth in relational databases and SQL, API design, system integration, and application authentication and authorization.
Experience deploying and supporting applications using containers, CI/CD, and at least one major cloud environment such as AWS, Azure, or Google Cloud.
Experience making technical tradeoffs, diagnosing production failures, and improving system reliability and maintainability.
Technical leadership through design decisions, code review, and mentoring, with clear communication to customers and nontechnical colleagues.
Demonstrated use of AI coding tools or agents, with independent review, testing, and security checks of generated code.
Travel up to 50% for user engagement, deployment support, and forward deployed engineering.
An active U.S. DOW security clearance.

Preferred Qualifications

Experience delivering software in defense, intelligence, or other environments with significant access, security, or integration constraints.
Experience integrating AI capabilities into production applications and evaluating their effect on the user workflow.
Experience with Palantir Foundry, Databricks, or comparable enterprise data and application platforms.
Experience turning an early customer deployment into products.

Target salary range is $163020.95 - $280944.38

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job Locations US-Remote

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Skills

Documentation
Troubleshooting
TypeScript
React
Back-end development
Python
Node.js
SQL
API development
ICT system integration
CI/CD
AWS
Microsoft Azure
Google Cloud
Leadership
Coaching
Communication skills
Databricks

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