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 TypeScript/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 GitOps 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 specialists, and founders
Exposure to IoT or industrial protocol integration (BACnet, Modbus, MQTT, OPC-UA). Prior experience is a plus, not a prerequisite; the protocols are learnable with the right engineering foundation
Ability to build simple operator-facing dashboards (React, Vue, or similar) when needed
Hands‑on experience with specific DCIM or BMS vendors such as Schneider EcoStruxure, Siemens Desigo, or Nlyte
Experience working with energy market APIs or grid operator interfaces
We expect you to act like an owner, which means we offer an above‑market compensation package for a seed‑stage company: a strong base salary and equity stake.
We are building this in Berlin (Hybrid / On‑site). If you are the right fit but not based here yet, we provide full visa sponsorship and relocation assistance to get you and your setup seamlessly moved.
We cover licenses for Cursor, Copilot, and whatever else keeps you moving. Top‑of‑the‑line hardware, no approval process.
You own the platform end to end: from the first protocol adapter to production observability. You will have the freedom and responsibility to make architectural decisions that matter from day one.
We keep it lean. Three stages, no more than four weeks from first call to offer.
#J-18808-LjbffrVeröffentlichungsdatum:
30 Jul 2026Standort:
BerlinTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Development & ITErfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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