Mid C# Developer

Join our ongoing collaboration with one of the largest North American banks – serving over 17 million clients worldwide. We are seeking a strong Software Developer to join the Cash Analytics team, responsible for building and supporting core pricing and risk analytics platforms for cash products.

This role focuses on developing high-performance, data-intensive systems used for pricing, risk calculation, and large-scale batch processing. The candidate will work closely with front office, risk, and engineering teams to deliver scalable, reliable, and efficient solutions in a complex production environment.

Industry: Finance

Location: Kraków / Hybrid/ Remote from Poland

• Taking care of existing C#/.NET applications and developing new backend services, APIs, and integrations
• Design, develop, and enhance pricing and risk analytics systems (batch and real-time)
• Work with large datasets and optimize data processing performance (SQL, in-memory, parallel processing)
• Collaborate with front office and risk teams to translate business requirements into technical solutions
• Troubleshoot and resolve complex production issues in critical systems
• Improve system scalability, performance, and reliability
• Contribute to system design and modernization of legacy platforms
• Write clean, maintainable, and efficient code following best practices
• Collaborating with developers across Poland and Canada
• Participating in code reviews, discussing technical improvements, and sharing best practices
• Using GitHub, Jira, and Jenkins for CI/CD and task management

Team & Collaboration

• 5 (Montrose) + around 30 on the client’s side, including developers, QAs, Business Analysts, and Project Managers
• Regular meetings:
  • 3 short standups per week (Montrose team)
  • 1 weekly standup (all team)
  • 1 weekly project status meeting (all team)
• Communication via email and Webex chat
• Working hours: usually 9:00–17:00 CET

• Strong knowledge of C# and .NET
• Good understanding of data structures, system design, and performance optimization
• Good knowledge of Python
• Solid experience with SQL, including performance tuning and working with large datasets
• Knowledge of Git and collaborative development workflows
• Proven ability to debug and resolve issues in complex production environments
• Experience working in Linux environments

• Technical screening call via Google Meets (~ 30 minutes)
• Technical interview via Google Meets (~ 2 hours)
• Non-technical conversation with a member of our Recruitment Team (~ 45 minutes)
• Client interview (30–90 minutes) – this is a standard part of our recruitment process, giving you the opportunity to meet the client you'll be working with.