IT & Software

Senior Software Engineer, Full-Stack Applications - Ratings Technology (London)

Fitch Ratings

London · Greater London · United Kingdom

Overview

In this role, you design and build mission-critical, full-stack applications for Ratings Technology, enabling analysts and executives to derive insights. You will shape technical direction, architecture, and AI-driven workflows in a scalable, cloud-native environment. Collaborating with product managers and stakeholders, you’ll push the boundaries of innovation while delivering high-quality user experiences. This is a high-visibility opportunity to influence technology strategy across a global team and contribute to Fitch’s analytical capabilities.

Pay / Benefits
  • hybrid work model
  • leadership development and mentorship
  • retirement planning and financial wellness
  • tuition reimbursement
  • comprehensive healthcare
  • paid volunteer days
Responsibilities
  • Design and deliver robust, scalable full-stack applications using Java/Springboot, C#/.NET, Python and React
  • Lead architectural decisions, establish technical standards, and explore AI/ML integration to transform workflows
  • Mentor engineers, partner with product managers and analysts, and promote experimentation and psychological safety
  • Implement CI/CD pipelines, perform architecture reviews, and address performance and scalability challenges
  • Shape team processes and drive strategic technical initiatives across multiple teams
  • Provide expert troubleshooting and maintain system performance in fast-paced Agile environments
Key requirements
  • 10+ years of hands-on enterprise application development
  • Proficiency in Java/Springboot, C#/.NET, Python and React
  • Strong understanding of software architecture, design patterns, data structures, and algorithms
  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent)
  • Excellent collaboration and communication skills
  • Experience delivering in cloud-native, microservices architectures
  • Familiarity with AI/ML integration and experimentation (desirable)
  • curiosity and willingness to challenge status quo
  • team collaboration and mentorship
  • clear communication of complex concepts
  • Docker
  • Kubernetes/EKS
  • GitHub

Reference: WJ-747_30302011

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