Here’s the professional LinkedIn post based on the provided job details: --- **Hiring: Platform Engineer** **Company:** Underdog: Verified engineers. Interview-ready. Searching confidentially. And companies apply to you **Location:** New York City Metropolitan Area **Job Posted Time:** 2026-09-16 12:57:42 **Employment Type:** Full-time **Target Skills & Keywords:** Platform Engineering, AI Workflow Orchestration, Data Ingestion, Python/Node.js, Developer Platforms, Security & Compliance (FedRAMP/CJIS/HIPAA), Government Tech **Experience:** - Mid-Senior level - Track record of building real systems from scratch to production - Hands-on experience with AI coding tools (e.g., Claude Code, Codex, Gemini CLI) **Required Skills:** - Strong backend fundamentals in **Python/Node.js** (data modeling, API design, extensible systems) - Frontend capability to reason about interfaces (though not UI-focused) - Daily use of AI coding tools as part of workflow - Expertise in **data ingestion pipelines**, **AI workflow infrastructure**, and **core platform primitives** - US citizenship (mandatory for government work) - On-site availability in **Flatiron, NYC (5 days/week)** **Qualifications:** - Experience with **regulated environments** (healthcare, finance, legal) is a plus - DevOps/infrastructure depth or **agentic AI orchestration** experience preferred - Ability to balance abstraction with practical delivery **Compensation:** - Competitive **base salary** + **early-stage equity** - Benefits: Medical/Dental/Vision, 401(k), Parental Leave, Tuition Assistance, Commuter Benefits This is a **foundational role** shaping AI-native software for government modernization. You’ll architect the platform powering solutions for cities, schools, and utilities—solving unsolved problems like legacy data integration and auditable AI workflows. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team! --- ### Key Notes: - Focused on **extracted details only** (no invented content). - Structured for LinkedIn clarity with **bolded keywords** for skimmability. - Call-to-action aligns with guidelines. - Omitted redundant/UI text (e.g., "Show more," referral prompts). Let me know if you'd like any refinements!