Job Description
A Software Engineer at Jua is responsible for building and deploying scalable backend systems, pipelines, and cloud infrastructure to support advanced weather forecasting models using machine learning, with a focus on speed, scalability, and reliability in a fast-paced, innovative environment.
Key Responsibilities
- Build scalable backend systems, pipelines, and cloud infrastructure focused on speed and scalability
- Design, develop, and deploy backend services and pipelines across multi-cloud and bare metal environments
- Shape system architecture and technical roadmap to ensure long-term maintainability and performance
- Collaborate with ML engineers to deploy machine learning models into production ensuring performance and reliability
- Identify and resolve technical challenges, performance bottlenecks, and critical system issues
- Prototype, test, and iterate quickly to refine system approaches and improve performance
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.
- Familiarity with deploying code to production, creating pull requests, merging, and iterative deployment.
- Experience working independently on scoped components, delivering isolated, limited-scope features, and deploying quickly with minimal supervision.
- Ability to work in a hybrid working model based in Zurich, Switzerland.
Benefits & Perks
Fair pay
Generous stock options
Work on groundbreaking technology
Collaborative, remote-first culture
Flexible work environment
Impactful industry in energy trading sector
Opportunity to shape the future of weather forecasting and machine learning
Ready to Apply?
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