Senior C Engineer

Tasks

• Develop and implement a multi-year technical strategy for key areas of the risk engineering platform, aligned with business objectives
• Oversee complex, cross-team design and architecture systems—make decisions that minimize future maintenance costs
• Deliver high-impact projects from architecture through to production deployment and operational excellence
• Lead the Risk Engineering team in software fundamentals and drive technical planning and project management
• Promote and share best practices across multiple teams, including CI/CD, automated testing, and scalable design patterns
• Conduct technology reviews and provide in-depth technical guidance to engineers in the role
• Manage incident response and root cause analysis in systems
• Supervise and develop engineers; foster a culture of continuous learning and technical excellence
• Help shape the evolution of our engineering culture and platform strategy

Requirements

• Extensive professional experience in C#/.NET with a proven track record of delivering complex, cross-team technical projects
• In-depth understanding of system architecture and distributed systems design
• Strong software engineering skills
• Extensive knowledge of database technologies (SQL, Server, ClickHouse, MongoDB) in a production environment, including schema design, query optimization, and performance tuning
• Experience with DevOps tools and practices to accelerate delivery and achieve operational excellence
• Experience with L.A.T.C. technologies for accelerating delivery and operational excellence
• Promoting engineering innovation – the ability to leverage assisted development tools to accelerate delivery and achieve operational excellence
• Strong communication and leadership skills, with the ability to build influence and consensus across teams
• A passion for fostering and developing engineering teams
• A strong commitment to collaborative development and continuous improvement
• Strong technical skills

Unnecessary advantages

• Experience with Python and its scientific ecosystem (NumPy, pandas, sciPy)
• Familiarity with containerization (Docker, Kubernetes) and workflow orchestration (Airflow)
• Experience with large volumes of data and data processing on a multi-terabyte scale
• Familiarity with financial market data, risk management, or quantitative system development
• A track record of success in promoting engineering culture – Tech Talks, open-source initiatives, or conference presentations

We offer

• Modern office on the Shoreditch campus with easy access to public transportation and amenities
• Hybrid working model
• Comprehensive compensation package
• 25 days vacation pay
• Private health insurance
• Pension contributions
• Flexible working hours