Lead, Software Development/Engineering

About the role

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.

Requirements

• 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
• 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.
• Additional key qualifications for the job
• Kubernetes
• Messaging platforms
• Event streaming
• Cloud-native development
• Additional soft skills

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Company Intel

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