Senior Engineer, Software Engineering

The Team

S&P Global helps todays advanced organizations take advantage of best-in-class technology and industry best practices to create an accurate single source of the truth, with information about customers and vendors which is accurate and up to date. With S&P Global, you can exchange information in a secure environment, reducing the risk of sending sensitive information via unsecured email. Our solutions provide you with a connected network where you can engage with the organizations you work with more quickly and efficiently. We enable you to reduce costs with streamlined processes and improved technologies
Our world-class technology and processes were built in conjunction with industry standards bodies, technology experts, and financial institutions to create the best-in-class solution for efficiently addressing regulatory compliance requirements and managing you tax environment.

What's In for you:

We are looking for a Lead Full Stack Software Engineer who thrives on building high-performance, scalable, and AI-augmented enterprise applications. This role demands strong backend engineering in Java, while delivering full-stack solutions with a strong emphasis on cloud-native development, microservices, and GenAI integration.

You will play a pivotal role in shaping the future of our software platformsowning platform evolution and embedding LLM-based tools to drive engineering velocity and quality.

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Duties & Accountability:

• Design, develop and implement highly transactional and scalable applications
• All aspects of database development (modelling, stored procedures, performance tuning)
• Should be able to understand non-functional requirements like performance, scalability, reliability aspect of the application
• Collaborate and share technical and business knowledge to members of the development team and wider organisation.
• Be able to mentor dev team and coach them for effective deliveries.
• Analyse existing designs and interfaces and creating design extensions or enhancements
• Apply strong technical skills and good business knowledge together with investigative techniques and problem-solving skills to identify and resolve issues in a timely and efficient manner
• Contribute to team code-review sessions to evaluate functional and non-functional impact of code changes
• We are looking for someone who is enthusiastic about technology and has a passion for high quality of deliverables while managing the team.

What Youll Do

• Deliver end-to-end features using modern Java stacks
• Build and scale APIs (REST/GRPC, OData, GraphQL), microservices, and event-driven architectures
• Design and deploy containerized applications using Docker and Kubernetes
• Work across SQL and NoSQL databases (i.e., PostgreSQL, Oracle, MongoDB, Dynamo DB)
• Embed GenAI and LLM capabilities (e.g., Github Copilot, Claude, AWS Bedrock, Azure OpenAI) into workflows and products
• Drive AI-augmented development practices - prompt engineering, LLM-assisted testing, and documentation automation
• Contribute to CI/CD and observability using GitHub Actions, Prometheus, Datadog, Splunk
• Guide innovation in cloud-native, federated data architectures and data contracts
• Advocate clean code, secure development practices, and modern SDLC (GitHub Advanced Security)

Nice to Have

• Experience with data contract standards and federated data tools (Trino, Starburst)
• Exposure to LLM orchestration tools (LangChain, LlamaIndex)
• Participation in hackathons, vibe coding, or internal innovation sprints
• Certifications in AWS/GCP, secure coding, or AI/ML domains
• Experience in Corporate Actions/Custody domain

Tech Stack & Tools

• Languages: Java, Python, JavaScript
• Frontend: React Angular
• Cloud Platforms: AWS Azure GCP
• DevOps & Infrastructure: Docker, Kubernetes, GitHub Actions, Terraform, CloudFormation
• Databases: PostgreSQL, Oracle, SQL Server, MongoDB, Starburst, Apache Parquet/Iceberg
• AI/GenAI: GitHub Copilot, Claude, CodeWhisperer, LLM APIs (OpenAI, Hugging Face, Bedrock)
• Monitoring: Splunk, Datadog, Prometheus
• Architecture: Microservices, event-driven, serverless, secure development (OAuth, JWT)

What You Bring

• 8-12 years of full-stack development experience in enterprise environments
• Strong command of Java, and cloud-native application development
• Demonstrated experience with AI-enhanced developer tools and integrating LLM APIs
• Deep understanding of DevSecOps, scalable architecture, and performance tuning
• Strong problem-solving skills and a growth mindset toward AI-powered innovation
• Experience mentoring teams and driving engineering best practices
• Bachelors degree in computer science or related field (or equivalent practical experience)

Why Join Us?

• Work on cutting-edge AI-integrated platforms
• Culture of innovation, open collaboration, and continuous learning
• Drive impact at scale in mission-critical enterprise applications
• Accelerate your growth with future-ready engineering practices.