> Markdown version of [/jobs/ext/3845095-senior-cleared-software-engineer-ts-sci](https://www.wearedevelopers.com/jobs/ext/3845095-senior-cleared-software-engineer-ts-sci). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Cleared Software Engineer (TS/SCI) - **Company:** KAIZEN, INC. - **Location:** Washington, DC, United States - **Experience:** Expert - **Salary:** $220,000.0 - $280,000.0 - **Contract:** Permanent contract - **Skills:** Abstraction Layers, Artificial Intelligence, Amazon Web Services, Software Quality, Code Review, Cursor, Github, PostgreSQL, Apache Maven, Node.Js, Open Source Technology, Microsoft Copilot, Next.js, TypeScript, ReactJS, System Availability, Palantir Foundry, AI Coding Agents, Material UI, AWS Fargate, Data Management, Claude - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8e7f6840ebdbba7f ## About the Role * 5+ years of professional engineering experience, with a track record of owning complex features and systems, not just executing on them * Hands-on development experience with Palantir Foundry, AIP, or Maven Smart System. You have modeled against the ontology, shipped pipelines or AIP agents, and can say what the platform does well and where you had to work around it * Deep fluency in React / Next.js and Node.js / TypeScript / Postgres. Fast, not just functional * AI coding tools (Cursor, Copilot, Claude) are already baked into how you work. You've shipped with them, and you move measurably faster because of it * You've built something real: a product, an open source project, a system you designed and stood behind * Proven ability to operate in ambiguity: you define the problem as often as you solve it, and you don't stall waiting for the answer to come to you * A genuine orientation toward the end user, the person on the other side of the screen isn't an abstraction to you, * Have shipped software inside a classified or otherwise accredited environment, and know where the real friction lives * Have been a Forward Deployed Engineer, or worked a program where Palantir was prime and you were the one making the integration actually work * Have touched federal, state, or local government tech, or have built in other regulated, high-stakes environments where the constraints were real * Have cloud deployment depth: AWS, Vercel, GitHub Actions, ECS/Fargate * Have experience with design systems and component libraries and a clear opinion on when a component is right vs. just functional * Have led technical work in an early-stage environment where the job was figuring it out, not following a playbook ## Description Most government software was built for compliance, not for the people who use it. Kaizen is changing that, and the engineers who work here are the reason it's possible. At the senior level, this role carries more than code: you're shaping how AI-native features get designed, scoped, and shipped across a platform that millions of Americans touch when they need something from their government. You'll be one of a small number of engineers with direct influence over what gets built and how: setting technical direction, mentoring teammates, and driving decisions that stick., * Architect and ship full-stack features end-to-end, from scoping and technical design through build, iteration, and production * Build and integrate against the Palantir stack: Foundry ontologies and pipelines, AIP agents, and Maven Smart System workflows * Build inside classification and data-handling constraints rather than around them * Lead the development of AI-powered product surfaces: intelligent intake flows, real-time constituent assistants, automated case routing, agency operator dashboards * Set technical direction and raise the bar on code quality. Your decisions become the patterns the rest of the team builds on * Engage directly with federal agency stakeholders to translate messy real-world requirements into clean, shippable product * Own platform reliability and performance at government scale: real SLAs, real users, no abstraction layer between you and accountability * Mentor earlier-career engineers through code review, pairing, and direct technical feedback