Lead Full-Stack Software Engineer – Clearance Required

LMI

. Work with mission users and business leaders to assess technical feasibility, define success, and scope prototypes and initial deployments .

Posted 11/9/2026full-timeRemote • United StatesSenior💰 $163,021 - $280,944 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong full-stack engineering capabilities with expertise in TypeScript, React, Python, and Node.js, alongside a solid understanding of relational databases, API design, and cloud deployment. Proven ability to lead technical direction, mentor teams, and communicate effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Full-Stack EngineeringTypeScript DevelopmentPython Backend DevelopmentCloud Deployment (AWS, Azure, Google Cloud)Technical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptReactPythonNode.jsSQLAPI DesignSystem IntegrationApplication AuthenticationApplication AuthorizationAI Coding Tools

Soft Skills

Technical LeadershipClear CommunicationMentoring

Tools & Technologies

ContainersCI/CDPalantir FoundryDatabricks

Certifications & Qualifications

U.S. DOW Security Clearance

Industry Keywords

DefenseIntelligenceSecurity ConstraintsIntegration Constraints

Tech Stack

Tools & technologies

AWSAzureCloudJavaScriptNode.jsPythonReactSQLTypeScript

About the role

Key responsibilities & impact

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 enduring sustainment teams
Set technical direction and guide a small team through unfamiliar customer environments

Requirements

What you’ll need

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
Applicants must meet eligibility requirements for a U.S. Government security clearance; only US Citizens are eligible for a security clearance
Preferred: experience delivering software in defense, intelligence, or other environments with significant access, security, or integration constraints
Preferred: experience integrating AI capabilities into production applications and evaluating their effect on the user workflow
Preferred: experience with Palantir Foundry, Databricks, or comparable enterprise data and application platforms
Preferred: experience turning an early customer deployment into products