Senior/Staff Software Engineer, Data Platform
Company: Axion
Location: New York, NY
Salary: $210,000 - $265,000 a year
Type: Full-time
Posted: 2026-08-27
About this role
## About Us
Founded in 2021, Axion is at the forefront of transforming product quality and customer satisfaction in manufacturing. Our cutting-edge AI-powered platform empowers manufacturers to swiftly identify, thoroughly investigate, and effectively resolve quality issues while simultaneously elevating customer experiences and outcomes.
As trailblazers in end-to-end quality intelligence, we're setting new industry standards. Our innovative approach enables industrial, aerospace, consumer, and medtech manufacturers to harness the power of quality and post-market data, driving down costs and boosting business performance.
Our vision extends beyond mere problem-solving; we're committed to reshaping the future of manufacturing. By seamlessly integrating advanced AI technology with deep industry expertise, Axion is paving the way for smarter, safer, and more efficient production processes across diverse sectors.
Backed by leading investors, including Bessemer Venture Partners, Amplo, Boeing, and RTX Ventures, Axion is poised to lead the quality revolution in manufacturing.
## About the Role:
We're looking for an experienced Backend Engineer to build and scale the production data ingestion systems that brings customer data into the Axion platform. This is a senior individual contributor role with direct architectural ownership and product impact.
The ideal candidate has strong experience working in early-stage companies, building and scaling complex, data-intensive backend systems. In this role, you would work with customer, service, field, telematics, warranty, and aftermarket data from dozens of enterprise systems, often in incompatible formats and with little structure or connection between sources.
Getting data onboarding right is essential because everything downstream depends on the integrity of that data. You’ll work closely with both Engineering and Product leadership to define and improve how manufacturer data is ingested, mapped, validated, and...