Software Engineer developing scalable backend systems for physical AI applications in energy trading. Collaborating on high-impact tasks in a fast-paced, innovative environment in Zurich.
Responsibilities
Build scalable systems: Design, develop, and deploy backend pipelines, services, and cloud infrastructure with a focus on speed, scalability, and pragmatism.
Help to shape our architecture and roadmap: Play a key role in defining how we build and scale.
Bring ML models to production: Work closely with ML engineers to deploy models.
Identify and tackle technical challenges: Address performance bottlenecks and refactor critical systems.
Prototype and iterate quickly: Move fast, test ideas, and refine approaches with short feedback cycles.
Requirements
Bachelor’s degree (or higher) in Computer Science or a related field.
5+ years of experience in a Software Engineering role.
Strong experience with modern Python in large-scale production systems.
Ability to make pragmatic, fast-paced decisions while managing technical debt effectively.
Proactive in identifying problems, performance bottlenecks, and areas for improvement.
Nice-to-have: Exposure to Data Engineering or related experience.
Benefits
Work on groundbreaking technology: Be at the forefront of weather forecasting and machine learning, contributing to innovations that push the boundaries of what’s possible.
Collaborative, remote-first culture: Join a dynamic, supportive team where your ideas matter, and work remotely with flexibility that fits your lifestyle.
Shape the future: Play a pivotal role in growing and evolving the backend of a product that’s rapidly advancing in a fast-paced environment.
Impactful industry: Work in the energy trading sector, using AI to drive real-world change and help shape the future of energy markets.
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