Senior/Staff Software Engineer, Data Ingestion

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 prepared for use across the platform.

Key Responsibilities

- Own technical architecture for our data ingestion system, including ingestion pipelines, schema mapping, validation, transformation, and the orchestration that carries customer data from the source to production-ready dataset.

- Build and harden the backend services and cloud infrastructure (Python, Postgres, and Kubernetes) that make onboarding a new manufacturer fast, repeatable, and observable, rather than a bespoke engineering project every time.

- Solve integration challenges at the source: enterprise warranty, telematics, ERP, and service systems with inconsistent schemas, unreliable delivery, and no shared vocabulary between them.

- Establish rigorous data quality and reliability standards (validation, lineage, monitoring, and alerting) so that pipeline degradation is caught by us before it's noticed by a customer.

- Partner across Engineering, Product, and customer-facing teams to shape the technical vision and roadmap for data onboarding workflows.

- Raise engineering standards through code review, design docs, and the technical direction others build on.

- Mentor engineers on data architecture and system design, unblocking hard problems and sharing context generously.

Requirements

- Minimum 5+ years of backend software engineering experience, with deep, recent, hands-on fluency in Python.

- Strong cloud architecture experience—designing, deploying, and operating distributed services in production, with Kubernetes and containerized workloads.

- Demonstrated depth with Postgres and relational data modeling, including performance, migrations, and schema design under real production load.

- A track record of solving genuine data integration problems: heterogeneous sources, messy real-world inputs, and turning all of it into something reliable that downstream systems can depend on.

- A pragmatic, tools-not-platforms approach to the data ecosystem—you pick the right technology for the prob …