About the Role 

Teserac is building neuron™, a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron™ processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous data center environments — giving infrastructure owners and operators the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7.

As a Full Stack Developer, you will build the features and interfaces that data center operators rely on to monitor, analyze, and act on real-time power and operational data. You will work across the entire stack — from real-time dashboards and alerting UIs to backend data pipelines and API integrations.

This is a high-impact role where your code ships to production quickly and directly affects how some of the world's most critical infrastructure is managed. You will work closely with the Principal Software & Architecture Lead, Product, and Solution Engineering in a fast-moving, small-team environment.

We move fast. We avoid bureaucracy. We expect engineers to own outcomes, not tickets.

Why You Would Be a Good Fit

You are a full-stack engineer who takes pride in shipping features that are fast, clean, and production-ready. You're comfortable in unfamiliar territory — whether that's a new protocol, an unfamiliar dataset, or a tight deadline — and you default to ownership rather than waiting for direction. You thrive in fast-moving environments where your work has direct, visible impact.

You likely:

• Build front-to-back: you can wire a real-time dashboard from WebSocket to pixel without passing the baton.
• Write clean, tested code and treat code reviews as a team learning opportunity.
• Are comfortable with ambiguity — you can turn a rough product requirement into a well-scoped implementation plan.
• Have worked with time-series or streaming data and understand the performance implications of large dataset rendering.
• Learn quickly and enjoy working at the intersection of software, data, and physical systems.

Key Responsibilities 

Front-End Development

• Build and maintain front-end interfaces for neuron™: real-time dashboards, alerting systems, capacity planning views, and operational workflow UIs.
• Build UI components and workflows for the AI teammate: interaction panels, recommendation displays, approval workflows, and audit trails.
• Optimize application performance for real-time data rendering, large dataset visualization, and responsive user experiences across device types.

Back-End Development

• Develop backend services and APIs that power data ingestion, normalization, and delivery of telemetry from diverse data center sources.
• Implement integration modules for BMS, EPMS, and third-party monitoring systems using protocols including Modbus, BACnet, SNMP, and REST APIs.
• Design and maintain RESTful APIs with clean contracts and well-documented schemas.

Engineering Quality & Process

• Write clean, tested, and well-documented code; participate in code reviews and contribute to engineering best practices.
• Contribute to CI/CD pipelines, automated testing, and deployment processes.
• Collaborate with the Principal Architect and Product to refine requirements and deliver features within sprint cycles.
• Troubleshoot production issues across the stack and participate in on-call rotations as the platform scales.

Why Teserac

Teserac is AI-native observability and workflow automation purpose-built for mission-critical physical infrastructure. We are not building incremental improvements to legacy tools. We are re-architecting how data centers see, understand, and act on their own operations.

• Ship features that directly impact how some of the world's most critical AI infrastructure is powered and managed.
• Small engineering team where every developer has outsized impact and direct visibility into product decisions.
• Work at the intersection of AI, real-time systems, and physical infrastructure — a rare and technically compelling combination.
• Competitive compensation with meaningful equity upside; grow with the company from Series A through scale.