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PalantirPalantir

Forward Deployed Software Engineer - US Government

Forward Deployed Software Engineers design and deploy end-to-end technical solutions for customer pain points, leveraging Palantir products and custom tech. Requires strong coding skills in Python/Java/TypeScript, US Top Secret clearance, and onsite collaboration.

About the job

Responsibilities

  • Understand customers’ greatest pain points and design end-to-end solutions.
  • Solicit constant feedback from customers and colleagues to improve products through rapid iteration.
  • Deploy technical solutions to solve customers’ hardest problems, from high-level system design and prototyping to application development and data integration.
  • Leverage Palantir products, open source technologies, and custom builds to drive impact.
  • Work with customers globally on challenges like detecting insider trading, disaster relief, and healthcare fraud.

Requirements

  • Strong engineering background, preferred in Computer Science, Mathematics, Software Engineering, or Physics.
  • Experience with logistics, materiel, sustainment, aviation, or readiness analysis is a plus.
  • Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
  • Understanding of how technical decisions impact users.
  • Strong coder with proficiency in Python, Java, C++, TypeScript/JavaScript, or similar.
  • Demonstrated ability to collaborate with technical and non-technical teams in rapidly changing environments.
  • Ability to learn continuously, work independently, and make decisions with minimal supervision.
  • Willingness to travel as needed.
  • Active US Security Clearance at or above Top Secret level.

Technologies

  • Core Palantir products and custom applications.
  • Postgres, Cassandra, Hadoop, Spark.
  • Java, Groovy.
  • TypeScript, React, Leaflet, d3.
  • Python.
  • Palantir cloud infrastructure (AWS EC2, S3).

Skills

Python, Java, TypeScript, JavaScript, React, Postgres, Cassandra, Hadoop, Spark, AWS

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