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# Senior Backend Engineer (Python/Go)

- **Company:** WhyBrilliant GmbH
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Salary:** €80,000.0 - €95,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Algorithmic Trading, Automation of Tests, Cloud Computing, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), PostgreSQL, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Terraform, Data Pipelines, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.careerjet.de/jobad/de367ef42d979ad6a1d4a8c10044669b74

## About the Role

* 6+ years building distributed backend services using production Python and Go.
 * Deep mastery of PostgreSQL schema design, optimization, and time-series data handling.
 * Proven background implementing event-driven streaming architectures with Kafka or NATS.
 * Hands-on experience deploying containerized services with Kubernetes, Docker, Terraform, and cloud infrastructure.
 * Rigorous testing mindset across unit, integration, and contract test suites.
 * Native-level C2 fluency in both German and English with valid German work authorization.

## Description

Following our recent venture funding, we are expanding our core energy platform to handle massive scale as we double down on decarbonizing commercial power. Behind every turbine lies massive volumes of SCADA readings, volatile spot market pricing, and continuous customer consumption that must be ingested and matched in real time. Without robust, high-throughput backend infrastructure, bridging physical renewable generation with modern grid demand is impossible.
What you'll do
You will own the architecture, development, and reliability of our high-scale energy ingestion and matching engines.

 * Build high-throughput data pipelines in Python and Go to ingest real-time SCADA telemetry, 15-minute metering intervals, and weather forecasts.
 * Architect scalable time-series data storage and query layers using PostgreSQL and TimescaleDB.
 * Develop and maintain low-latency REST and gRPC APIs powering customer portals, partner integrations, and internal trading systems.
 * Integrate external market data feeds, including EPEX Spot prices and transmission grid operator signals.
 * Implement real-time matching algorithms that pair customer consumption with wind power generation and track guarantees of origin.
 * Drive observability, automated testing, and shared on-call reliability practices while mentoring growing engineering team members.