Python Developer

• passion for solving complex problems and delivering maintainable, production-quality software
• strong Python and relational database experience, preferably PostgreSQL
• hands-on DevOps and CI/CD experience, ideally with GitLab pipelines
• knowledge of Azure Functions or similar serverless, event-driven platforms, including triggers, bindings and scaling
• knowledge of Azure Service Bus or similar messaging technology, including queues, topics, publish/subscribe and error handling
• strong data-flow engineering skills across ingestion, transformation and orchestration; Azure Data Factory or similar is a plus
• strong AI-assisted development experience, ideally with GitHub Copilot, agents, reusable skills and effective prompting
• experience with full-text search engines, including designing indexes and implementing data indexing and search using Azure AI Search
• experience in web UI development with React is a plus

We’re looking for software engineers to:

• build cloud-native Azure solutions for greenfield projects and existing applications
• adopt emerging technologies, reuse strategic platforms and standards, and make sustainable technical decisions
• deliver secure, reliable and compliant solutions that meet functional and non-functional requirements
• use GitHub Copilot, agents and reusable skills across delivery, with strong quality, security and human oversight
• introduce emerging practices and help build capability across the product family
• share expertise, support hiring and contribute to our engineering culture and communities

Bachelor's, Minimum 6+ Years experience

Python, PostgreSQL, DevOps, Azure, Azure Data Factory

Azure AI, ReactJS

Based in Wroclaw, Poland, you’ll join the Communications Surveillance crew, working in autonomous pods within the Agile@UBS framework. Together, we build innovative tools that digitize and automate communications monitoring and review. You’ll help deliver a new in-house electronic communications surveillance platform spanning unstructured-data processing, model-driven alert generation, and a user interface for alert review and disposition.