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Pelico is a manufacturing orchestration platform that uses AI to connect fragmented supply chain, production, and quality data for industrial operations. The platform is trusted by companies like Airbus, Boeing, Safran, Eaton, and Cartier. Founded in 2019, backed by General Catalyst, 83North, and Serena, the company has raised $72M with 300% YoY revenue growth, deployed in 15+ countries, and operates from Paris with offices in Miami, London, and Amsterdam.
In this role, you will lead development of Pelico's ETL backend in Java, owning scalability and performance for systems that transform complex, high-volume manufacturing data into a single live operational picture. You'll design, develop, and optimize ETL backend components while architecting scalable, modular services that ensure data integrity, security, and availability across distributed environments.
Key responsibilities include:
- Design and optimize Pelico's ETL backend components in Java for complex data processing
- Architect scalable services ensuring data integrity, security, and availability in distributed environments
- Integrate third-party services and APIs; collaborate with DevOps on CI/CD optimization
- Develop solutions for large-scale data ingestion, processing, and analysis with optimized database interactions
- Mentor junior engineers through code reviews and knowledge-sharing sessions
- Write clean, maintainable, testable code and drive comprehensive testing strategies
You'll work in a hybrid model from the Paris HQ within an international team of 36+ nationalities, with a real ownership mandate over a capability cluster and equity in a category-defining scale-up.
REQUIREMENTS:
- Strong proficiency in Java or Kotlin (backend) with experience in relational databases and API development
- Solid understanding of distributed systems concepts and performance optimization techniques
- Strong grasp of software design principles (SOLID, separation of concerns, DRY) and design patterns; ability to write maintainable, testable code
- Experience with automated testing and CI/CD; ability to define and document technical specifications
- Strong debugging and troubleshooting skills; ability to design robust, scalable solutions and identify/mitigate risk
- Active embrace of AI tools as part of your workflow; curiosity about new possibilities and quick adoption of smarter working methods
- Hands-on experience with AI-assisted workflows (writing, research, analysis, coding, productivity) and genuine interest in frontier AI capabilities
- Nice-to-have: Experience mentoring or providing technical leadership to junior engineers
- Nice-to-have: Experience in manufacturing, aerospace & defense, or industrial sectors
