Full Stack Developer

Teserac, Inc.•Santa Clara, CA

9d•$180,000 - $230,000•Hybrid

About The Position

Teserac is building Neuron™, an AI-native observability and automation platform for data center power infrastructure. This platform provides operators with real-time visibility and helps them proactively address issues. The AI teammate within Neuron™ detects anomalies, correlates events, and recommends actions. As a Full Stack Developer, you will be responsible for the entire lifecycle of features, from data ingestion from building management systems (BMS) to the time-series data storage and the operator-facing dashboards. This is a hybrid role based in Santa Clara, and visa sponsorship is available. The company emphasizes a fast-paced environment with a small team, where engineers own outcomes and ship code rapidly.

Requirements

7+ years building and shipping production software across the stack
Strong Python, ideally Django
Strong PostgreSQL: schema design, query performance, and migrations
Practical time-series experience (TimescaleDB ideal, or deep experience with another time-series or high-volume streaming store)
Solid React and TypeScript, with the ability to keep data-heavy interfaces fast
Experience with asynchronous and event-driven systems (task queues, pub/sub, streaming, or WebSockets)
Comfortable on AWS (ECS Fargate, RDS, ElastiCache, and IoT Core)
Ability to work independently, define scope from rough requirements, and ship code

Nice To Haves

Industrial or IoT telemetry experience (BMS, EPMS, DCIM, SCADA, or similar OT data sources)
Hands-on experience with industrial protocols (BACnet, Modbus, SNMP, or vendor BMS APIs)
Data center infrastructure familiarity (power distribution topology, UPS and PDU behavior, or PUE)
Experience building observability or monitoring products, commercial or internal
Early-stage startup experience, Seed through Series B

Responsibilities

Build operator-facing features for Neuron™ in React and TypeScript, including real-time dashboards, alerting, alarm and ticket workflows, capacity planning views, and power-flow visualizations.
Develop interfaces for the AI teammate, such as interaction panels, recommendation displays, approval workflows, and audit trails.
Ensure large, data-dense views are fast and responsive across devices.
Build and maintain the ingestion path for bringing telemetry from customer sites into Neuron™, including edge collectors, MQTT over AWS IoT Core, queue-based workers, and normalization into a canonical metric model.
Write integration modules for real building and power systems like Siemens Desigo, Schneider PME and EcoStruxure, Niagara, Eaton, and generic BACnet, Modbus, and SNMP sources.
Own the correctness of ingested data, including point mapping, unit and phase semantics, deduplication, and backfill.
Develop against PostgreSQL and TimescaleDB, focusing on hypertables, continuous aggregates, compression, and retention.
Design schema and migrations that remain safe as tables grow to billions of rows.
Identify and resolve performance issues that arise with large customer data volumes.
Write tested, reviewed code and contribute to CI/CD and automated testing.
Troubleshoot production issues across the entire stack and participate in on-call rotations as the platform scales.