Backend Python Developer

2 days ago

United Kingdom ClearML Full time

At ClearML, our mission is to make infrastructure management effortless across every phase of the AI lifecycle -- from building and training AI models to large-scale production. Trusted by more than 2,000 organizations, AI builders and IT teams use our AI infrastructure platform to power everything from early-stage R&D to mission-critical public sector and enterprise-grade AI pipelines.

We’re growing quickly and looking for curious, self-driven individuals who are excited to shape the future of AI and the infrastructure that powers it. We are seeking a Senior Python Backend Engineer with a very strong background in designing and building high-performance, scalable systems. Candidates should be comfortable working from home, collaborating with a dynamic and vibrant team from all around the world. The products and technologies you’ll build and maintain will be used by thousands of companies around the world as well as numerous independent developers, data scientists and engineers.

ClearML is a fully-remote, open-source company which promotes independence and personal growth and accountability - we look for people who thrive in environments where the technology you develop quickly affects the work and productivity of people around the world. If you like getting quick feedback from real-world users, rapidly shipping features and technologies to production and seeing the difference you make, ClearML is the place for you

Design, develop, and maintain robust Python systems capable of handling high-throughput ingestion and concurrent user sessions.
Manage and optimize data storage and retrieval using MongoDB and Elasticsearch, with a strong focus on performance, scalability, and memory efficiency.
Troubleshoot production issues and improve system stability and monitoring.
Contribute to code reviews, technical documentation, and best practices for Python development.
8+ years of professional experience developing in Python.
~ Strong knowledge of high-volume data architecture using MongoDB and Elasticsearch , including indexing, query optimization, and memory/performance tuning.
~ Solid understanding of software design principles, data structures, and algorithmic efficiency.
~ Experience collaborating effectively in distributed or remote teams.
~ Familiarity with AWS, GCP, or other cloud environments.

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