Platform & Integration Engineer

About Loadwise

Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple:
Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

We are looking for a Platform & Integration Engineer to build the Loadwise platform. This is the core software engineering role on the team.

Owning this platform end-to-end is a unique challenge. Very few engineers are comfortable spanning the full stack of a platform like this: raw protocol handling, data normalization, backend service architecture, and production observability - all in a domain where the data comes from physical infrastructure and the decisions affect real assets.

As one of the first six people building Loadwise, you will design and operate everything that makes the platform run. Because there is no separate platform team, you have ultimate ownership over the ingestion layer, external connections, backend services, and production infrastructure. You will work closely with the Energy Systems Engineer (who defines facility interfaces) and the Controls Engineer (who builds forecasting and control logic).

Your responsibility is building the platform layer that connects everything reliably. You will also be the technical point of contact when engaging with customer engineering teams, translating requirements directly into platform decisions.

What the first six months look like:
By month six, the platform is ingesting live telemetry from pilot facilities via at least two industrial protocols, integrated with one external energy market signal feed, and serving a real-time backend API to the controls and forecasting stack. All services are fully instrumented with metrics, logging, and alerting. That technical foundation is what every subsequent feature builds on.

The core of this role is well-defined. What happens beyond it is up to you.

• Build and maintain protocol adapters connecting to physical facility infrastructure and building automation systems

• Connect to energy market APIs, grid operator signal feeds, and utility interfaces

• Build interfaces that provide real-time and forward-looking visibility into compute workload demand

• Build reliable data ingestion pipelines with validation, transformation, and storage

• Design and maintain backend APIs consumed by forecasting, control, and reporting services

• Implement data normalization and schema management across heterogeneous source systems

• Ensure pipelines handle reconnection, backfill, and partial failures gracefully

• Instrument all services with metrics, logging, and alerting

• Define and track data freshness, completeness, and quality SLAs

• Own deployment, scaling, and operational runbooks for the platform

You likely come from a background in backend engineering, systems integration, or data infrastructure.

• Experience building backend services and data pipelines in production environments

• Our core stack is Python and Type Script/JavaScript. We are looking for strong backend experience in either;
  Go also works. Comfort with distributed systems is expected

• Familiarity with event-driven architectures, message queues, or streaming systems (Kafka, NATS, or similar)

• Comfort deploying and operating services in a Kubernetes-based environment

• Familiarity with observability tooling:
  Prometheus, Grafana, or similar

• Ability to design for fault tolerance, retry logic, and graceful degradation

• Familiarity with CI/CD pipelines and Git Ops practices

• You treat AI-assisted development tools (Cursor, Copilot, Claude Code, v0) as genuine force multipliers and build accordingly

• Comfortable operating as a senior individual contributor with broad ownership across the full stack

• Ability to navigate vendor documentation and proprietary system APIs

• Clear communicator across engineering, domain…