The Role

As a Backend Engineer at GALVANY, you will be a core architect of our AI-based Operating System. You'll design and scale the systems that bridge the gap between complex energy hardware and seamless digital experiences. Whether you are optimizing our Virtual Power Plant, building high-performance APIs for our customer apps, or engineering the core platform that powers our entire business, your work will be the backbone of the energy transition.

Responsibilities:

• Design and implement robust, event-driven architectures using Go and Kafka to support a diverse range of product domains.
• Develop high-quality APIs and data integrations that connect our platform to physical devices, external markets, and user-facing interfaces.
• Integrate LLMs and machine learning models into backend services to solve complex problems and enhance our "Gen AI" infrastructure.
• Take end-to-end responsibility for services, from initial design and testing to deployment and long-term observability.
• Design and implement automation solutions that create real business value – be open to workflow engines (e.g. n8n) and low-code platforms (e.g. Airtable) alongside custom code.
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Note: DevOps/SRE/Platform engineers are also very welcome to apply to this opening.

Tech Stack: Backend with GoLang; ML with Python, PyTorch, and LLMs; Frontend with React, Tailwind, and Shadcn; Mobile with Flutter; General tools including Azure, GitHub, Linear, Notion, Kafka, Benthos (data pipeline), n8n / Kestra (workflow engine), and low-code process automation platforms.

Requirements

• Experience. 3+ years of experience in high-performance environments (e.g. top-tier consulting, fast-scaling startups, or similar).
• Track Record. Proven end-to-end responsibility in software engineering or infrastructure/DevOps. From ideation to release.
• Background. Strong background in relevant fields, e.g. Computer Science, Software Engineering, or similar.
• Technical Skills. Strong coding skills with proficiency in Go, or similar. Familiarity with event-driven architecture and a "right tool for the job" mindset regarding automation. Fluent in spec-driven, AI-assisted development (e.g. Claude Code).
• Mindset. Self-driven problem-solving mindset – no need for micromanagement or specific tickets.
• Technical Aptitude. Technical mindset with a passion for understanding systems, data flows, and integrations, coupled with enthusiasm for continuous learning and problem solving.
• Language. Fluent in English; German is a plus.