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Trading Infrastructure Engineer – Algorithmic Power Trading

Ostrom - Berlin, Berlin, Germany - Hybrid - posted 2026-09-24

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Ostrom is Europe's fastest-growing digital green energy provider and Certified B Corp, on a mission to make renewable energy accessible and inclusive across the continent. The company operates Germany's first virtual power plant (NeoGrid) and offers variable tariffs, dynamic pricing, smart EV charging, and heat pump/solar optimization. With 50+ employees from 16+ nationalities and €40M+ in funding, Ostrom is scaling rapidly. As Trading Infrastructure Engineer, you will own the infrastructure powering Ostrom's trading platform as a key member of the Trading team. You'll take full responsibility for the systems that enable the company to operate as a digital electricity provider in the green energy market. Key responsibilities: - Provide and maintain compute infrastructure, CI/CD pipelines, logging, and monitoring for trading systems; manage associated cloud costs - Own system architecture for the trading platform, ensuring scalability, reliability, and low-latency performance - Manage exchange connectivity and provide engineering support across trading infrastructure - Drive AI adoption: roll out coding agents, establish shared agent rules and guardrails, maintain MCP integrations and context documentation consistency across repositories The role offers a hybrid setup (Berlin office with remote flexibility), competitive salary with company equity (VSOP), annual learning budget, company pension, discounted public transport, e-bike/e-moped options, and a flat-hierarchy culture with transparent communication. REQUIREMENTS: - Degree in Computer Science or equivalent - 4+ years of experience in trading infrastructure engineering or related field - Production-grade code writing ability (Python or similar) with best practices: Git, automated testing, CI/CD, code reviews - Hands-on AWS infrastructure management: compute (ECS, Lambda), data/messaging (Firehose, SQS, Postgres, DynamoDB, S3), monitoring (CloudWatch) - Containerization experience (Docker) and observability tools (logging, metrics, alerting) - MLOps and ML infrastructure experience: model training, deployment, scheduling, data processing, monitoring in cloud environments - Strong system architecture design understanding for high-availability, low-latency systems - Familiarity with AI coding tools and AI-assisted workflows - Excellent English communication (B2–C1 level) NICE TO HAVE: - Exchange connectivity experience (EPEX, EEX, or ISVs) - Ray and Airflow experience - Terraform experience - Understanding of European energy markets - German language skills - Prior startup experience

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