Software Engineer (Web App & Cloud Services)

About Neuron Industries The leader in AI programmable PLCs in industrial automation. Backed by Y Combinator (S26).

• Architect backend services and cloud systems for controller connectivity,
• application state, and industrial data, with clear paths to thousands or
• millions of users and devices.
• Develop reliable APIs, data models, and service boundaries that support
• growth without making the early product unnecessarily complex.
• Build telemetry ingestion, storage, and querying, with explicit decisions
• about throughput, latency, consistency, and failure handling.
• Own production reliability and observability; investigate incidents and
• remove bottlenecks using measured evidence.
• Deliver TypeScript/React features in Synapse for deployment, monitoring,
• debugging, and working with machine data.
• Ship tested software through CI/CD with clear rollout, rollback, and recovery
• paths.
• Work with customers and embedded engineers to turn real machine workflows
• into useful application and cloud capabilities.
• Strong engineering depth demonstrated through at least one of the following
• personal architecture ownership in a production system scaled from an early
• product to thousands or millions of users or devices; software engineering
• experience at a FAANG company; or an engineering background from a leading
• engineering university.
• You’ve designed, implemented, and operated production backend services and
• can explain your personal contribution and technical decisions.
• Strong networking, API design, database, concurrency, and distributed systems
• fundamentals.
• You can explain a production bottleneck or failure you resolved, the evidence
• you used, and the resulting improvement.
• Depth in a backend language such as Go, Rust, Python, or C++, and the ability
• to deliver application features in TypeScript/React.
• You use automated testing, instrumentation, and operational feedback to
• improve the systems you own.
• You can turn incomplete requirements into useful software and communicate
• tradeoffs across reliability, performance, cost, and delivery speed.
• Connected device fleets, industrial telemetry, or cloud services supporting
• physical systems.
• Developer tools, IDEs, simulation, or production AI features.
• Ownership across backend architecture and frontend workflows in an early
• product.