Lead, Software Development/Engineering

Grade Level (for internal use): 11 The Role : Backend Engineer (Microservices Transformation) The Team:  Establish FRA Prototype Team & Delivery Approach A full-scale microservices transformation of the S&P Global’s Financial Risk Analytics product, pre-AI, was expected to require a large pool of technology roles across architecture, engineering, platform, security, operations, and delivery. For the initial FRA prototype transformation, we want to stand up a lean, generative-AI enabled transformation squad with a focused team structure sized to deliver a validated microservices foundation. The objective is to establish an agile technology transformation group to design and deliver a commercially aligned, targeted microservices architecture for the FRA platform, prioritizing measurable business outcomes and rapid learnings. Responsibilities and Impact: Play a central role in building the organisation’s next-generation digital platform, developing microservices and backend components that power interactive and near-real-time customer experiences. Design and deliver high-quality domain microservices, REST/ GraphQL APIs, and event-driven integrations that enable scalable, decoupled, and future-ready systems. Engineer robust asynchronous workflows and event consumers/producers, helping create resilient services that perform reliably in complex distributed environments. Own the design and optimisation of service-owned data stores, supporting performance, scalability, and the successful migration of data from legacy monolithic platforms. Drive engineering excellence through unit testing, integration testing, performance tuning, and active code review, ensuring every release meets high standards of quality and maintainability. Contribute to operational confidence by monitoring live services, resolving incidents, and continuously improving observability to support secure, stable, and high-performing production systems. What We’re Looking For: Key qualifications for the job Generative AI Development & Integration (Microservices and APIs) Scala, Java / Spring Boot and/ or .NET and / or Python SQL / NoSQL/ Cassandra/ HBase/ Spark/ Yarn Docker Git Key soft skills Collaborative problem-solving — Success in a microservices environment depends on working effectively across engineering, product, platform, and architecture teams. This role needs someone who can solve issues collectively, contribute constructively in design discussions, and build strong technical partnerships. Ownership and accountability — The strongest candidates take responsibility for service quality end to end, from build and test through to production support. They are proactive, dependable, and committed to resolving issues rather than handing them off. Adaptability and learning agility — Modernisation programs evolve quickly, especially when integrating with legacy platforms and near-real-time systems. This role requires someone who can absorb new domain knowledge fast, adapt to changing priorities, and remain effective in a fast-moving environment. Attention to quality and operational discipline — Building backend services is not just about writing code; it requires a mindset of precision, reliability, and continuous improvement. The individual should care deeply about testing, performance, observability, and building services that are resilient in production. Additional key qualifications for the job Kubernetes Messaging platforms Event streaming Cloud-native development Additional soft skills Systems thinking — In Kubernetes, messaging, and event-streaming environments, issues rarely sit in one component. Engineers need to understand how services, containers, infrastructure, queues, events, and data flows interact so they can anticipate downstream impact, design more resilient solutions, and troubleshoot effectively across the whole system rather than just their own code. Clear technical communication — Cloud-native and event-driven