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PalantirPalantir

Forward Deployed Software Engineer - Japan Government

Delivers end-to-end, customer-facing software and data solutions for high-stakes government projects, combining architecture, coding, large-scale data work, and executive collaboration. Requires English and Japanese proficiency, strong engineering skills, security clearance eligibility, and at least one year of relevant experience.

About the job

Responsibilities

  • Work directly with customers to understand critical problems and design and implement data-driven solutions.
  • Own end-to-end execution of high-stakes projects in small teams with minimal supervision.
  • Discuss architecture with engineers, work with large-scale data, build custom web applications, engage customer executives, and establish team strategy.
  • Collaborate with internal teams and customers, often on-site, to understand and solve problems.
  • Travel to client sites as needed; 25–75% travel is required, depending on location and team.

Requirements

  • Proficiency in both English and Japanese.
  • Security clearance or ability to obtain clearance.
  • 1+ years of relevant post-college work experience.
  • Strong engineering background, preferably in Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
  • Strong coding ability in Python, Java, C++, TypeScript/JavaScript, or similar languages.
  • Analytical mindset and ability to solve technical problems involving data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.
  • Experience or interest in using large-scale data to solve business problems.
  • 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 and ability to travel to client sites as needed.

Skills

Python, Java, C++, TypeScript, JavaScript, Data Structures, Storage Systems, Cloud Infrastructure, Front-End Frameworks, Large-Scale Data, Web Applications, Data Science

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