Full Stack Software Engineer - Platform Software

Job description

Job responsibilities

• Own how a project flows through our systems, from the first customer conversation through to what the factory builds, including every handoff in between.
• Design the underlying data model and system of record, so that each function works from one authoritative representation of a project rather than maintaining its own copy.
• Build full-stack applications that turn manual, document-driven processes into software that operations teams run their day on.
• Define the data contracts and interfaces between business functions, and keep them clear enough that engineers and agents can both work against them.
• Apply AI to the manual and unstructured parts of the process, and build it to drive value in production not just demo well.
• Partner with other software teams to close the loop between what we plan and what we actually produce, so that real operating data improves the next project.
• Set the technical direction for how these systems evolve, including where we build and where we buy.
• Partner directly with the teams who will use what you build to find the highest-leverage problem to solve next, then cut scope until it ships.

Job requirements

• Bachelor's in computer science or a related field, or equivalent experience.
• 7+ years building production software.
• Strong full-stack engineering, ideally in Python and Typescript, including automated testing, CI/CD, monitoring and alerting, and root cause analysis. You've owned systems end to end, from data model through interface.
• A track record of gathering your own requirements and owning problems end to end, working directly with the people who will use what you build and turning vague operational complaints into scoped work that shipped.
• Experience building internal tools for non-technical operators, with at least one you can point to that got adopted and stayed adopted.
• Comfort with data modeling, pipelines, and warehouse work, without needing to be a pure data engineer.
• Experience with cloud-native architecture and containerized deployments.
• Experience using coding agents to prototype, reach a solution quickly, and augment day-to-day development.