blp
Senior Backend Developer(m/w/x)
Full-timeOn-siteSenior
Zürich
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CRCradle
Backend Software Engineer (Python) (Senior+)(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Architecting backend systems at a platform for AI-guided protein discovery, manipulating biological sequence data and ML model APIs. Extensive industry experience in cloud backend development, with production ML systems experience required. Generous equity stake.
Requirements
- Extensive industry experience in developing back-end systems in a modern cloud environment
- Proficiency in Python programming language and its ecosystem (FastAPI, uv, ruff, pyright)
- Experience with databases and big data systems
- Experience in production systems for machine learning applications
- Experience in building containerized backend systems (Docker, Kubernetes)
- Experience with highly-available distributed cloud systems
- Kindness and teamwork skills
Tasks
- Design and develop a service-oriented web application
- Architect methods for manipulating and storing biological sequence data
- Architect APIs for interacting with machine learning models
- Provide technical leadership for software engineering processes
- Collaborate with biologists, machine learning experts, and scientists
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- FastAPI
- uv
- ruff
- pyright
- Docker
- Kubernetes
Benefits
Competitive Pay
- Competitive salary
- Generous equity stake
Career Advancement
- Career progression opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Cradle and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CRCradle
Backend Software Engineer (Python) (Senior+)(m/w/x)
Zürich
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Architecting backend systems at a platform for AI-guided protein discovery, manipulating biological sequence data and ML model APIs. Extensive industry experience in cloud backend development, with production ML systems experience required. Generous equity stake.
Requirements
- Extensive industry experience in developing back-end systems in a modern cloud environment
- Proficiency in Python programming language and its ecosystem (FastAPI, uv, ruff, pyright)
- Experience with databases and big data systems
- Experience in production systems for machine learning applications
- Experience in building containerized backend systems (Docker, Kubernetes)
- Experience with highly-available distributed cloud systems
- Kindness and teamwork skills
Tasks
- Design and develop a service-oriented web application
- Architect methods for manipulating and storing biological sequence data
- Architect APIs for interacting with machine learning models
- Provide technical leadership for software engineering processes
- Collaborate with biologists, machine learning experts, and scientists
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- FastAPI
- uv
- ruff
- pyright
- Docker
- Kubernetes
Benefits
Competitive Pay
- Competitive salary
- Generous equity stake
Career Advancement
- Career progression opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Cradle and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Cradle
Industry
Other
Description
The company offers a software platform for AI-guided discovery and optimization of proteins, enabling faster design at scale.
Not a perfect match?
- blp
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