Full Stack Developer

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.

Requirements

4+ years of professional full-stack development experience.

Strong front-end skills: React with TypeScript, modern CSS, and data visualization libraries (D3.js, Recharts, or similar).

Solid backend experience: Node.js/TypeScript or Python; RESTful API design; relational and time-series databases.

Experience with real-time data: WebSockets, server-sent events, streaming data, or pub/sub architectures.

Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployment (Docker, Kubernetes).

Strong problem-solving skills and the ability to work independently in a fast-paced startup environment.

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Preferred Qualifications

Experience with IoT platforms, industrial data, or sensor telemetry systems.

Familiarity with data center infrastructure, DCIM tools, or building management systems.

Experience with industrial protocols: Modbus, BACnet, SNMP, or similar OT/IoT data sources.

Experience building observability or monitoring dashboards (Grafana, Datadog-style interfaces).

Demonstrated use of AI-assisted development tools (Cursor, Copilot, LLM-based workflows) to accelerate engineering velocity while maintaining high standards.

Experience at an early-stage startup (Seed through Series B).

Benefits

Health Care Plan (Medical, Dental & Vision)

Paid Time Off (Vacation, Sick & Public Holidays)

Free Food & Snacks

Stock Option Plan