Production Application Engineer, Supply Chain

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM The Production Application Engineering team is part of Anduril's Production Technology organization, which builds the tools behind Manufacturing, Supply Chain, and Planning. On the supply chain side, the team builds the web applications and automated workflows that optimize how Anduril sources and manages material. We partner with teams across Procurement, Strategic Sourcing, Materials Management, and Supplier Quality, and work closely with Analytics Engineering to make sure every tool is built on trusted, well‑modeled data. ABOUT THE JOB As a Production Application Engineer, you will design and build full‑stack web applications in React and TypeScript, backed by data services in Databricks and Palantir Foundry that integrate with our ERP systems. You will own each tool from scoping requirements with users through shipping, monitoring, and improving it in production. You will gain a deep understanding of the supply chain and turn manual processes into tools that drive real cost and time savings. You are on board with the goal of building a world‑class suite of supply chain applications that deliver truly novel solutions to supply chain problems. WHAT YOU'LL DO • Build and maintain production web applications in React and TypeScript that support supply chain workflows. • Use SQL and Python in Databricks to transform raw ERP data (Oracle, NetSuite) into reliable datasets that power applications and reporting. • Use Palantir's Foundry platform to build ontology‑backed applications and actions that write back to source systems via Python/TypeScript functions. • Eliminate repetitious processes with scheduled jobs, APIs, and event‑driven integrations. • Work with supply chain teams to define key performance metrics and implement systems for tracking them over time. • Own the reliability of the tools you ship, including testing, CI/CD, and monitoring. • Manage cross‑functional projects with clear and concise communication on timelines. • Integrate LLMs into applications and workflows to help summarize data and surface what needs attention. REQUIRED QUALIFICATIONS • Bachelor's degree in Computer Science, Data Science, Analytics, or a related technical field. • 2+ years of experience in a technical role such as analytics engineering, data engineering, software engineering, or a technical supply chain or operations role, preferably in complex hardware technology industries. • Expertise in SQL with a demonstrated ability to write complex queries and model data. • Strong proficiency in data processing, automation, and backend services. • Experience building web applications with React and TypeScript. • Experience with a modern data platform such as Databricks, Snowflake, or Palantir Foundry. • Working knowledge of Git/GitHub, code review, and CI/CD practices. • Ability to relocate or be local to Costa Mesa, CA. • Ability to travel up to 10% of the time. PREFERRED QUALIFICATIONS • Knowledge of supply chain concepts such as material planning, bill of materials (BOM) management, supplier delivery and quality metrics, and should‑cost analysis. • Hands‑on experience extracting and analyzing data from ERP/MRP systems (SAP, Oracle, NetSuite, or similar). • Experience working with APIs (REST, GraphQL, or similar). • Familiarity with data orchestration tools such as Dagster or Airflow. • Exposure to systems design concepts like caching and performance. <l