About the Role:

Grade Level (for internal use):

The Team:  We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely adopted by financial institutions. This strategic initiative spans the entire client lifecycle—from onboarding to maintenance and offboarding—while providing seamless integration with various in-house products such as Counterparty Manager, ISDA Amend, Outreach360, Request for Amendment, KYC, and Tax Utility. We leverage a mature Java/Spring Boot-based tech stack, supported by AWS infrastructure, along with the latest advancements in the industry to deliver this solution over a multi-year span.

Responsibilities and Impact:

• Lead a global engineering team across backend, front-end, data, and AI functions, with a focus on modern architectures, AI-driven automation, and cross-jurisdictional data compliance. 

• Design and architect solutions for complex business challenges in the client lifecycle management space, utilizing your extensive experience with the Java/Spring Boot/Angular/PostgreSQL tech stack and AWS infrastructure. 

• Provide guidance and technical leadership to development teams on best practices, coding standards, and software design principles, ensuring high-quality outcomes. 

• Demonstrate a deep understanding of existing system architecture (spanning multiple systems) and creatively envision optimal implementations to meet diverse client requirements. 

• Drive participation in all scrum ceremonies, ensuring Agile best practices are effectively followed. 

• Play a key role in the development team to create high-quality, high-performance, and scalable code. 

• Evaluate and recommend new technologies, assisting in their adoption by development teams to enhance productivity and scalability. 

• Collaborate effectively with remote teams in a geographically distributed development model. 

• Communicate clearly and effectively with business stakeholders, building consensus and resolving queries regarding architecture and design. 
• Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure. 
• Foster a professional culture within the team, emphasizing ownership, excellence, quality, and value for customers and the business. 
• Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints. 
• Implement automation across entity matching, data validation, and workflow orchestration using AI/ML. 
• Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. 
• Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns). 

Compensation/Benefits Information:

S&P Global states that the anticipated base salary range for this position is $125,000 to $210,000. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.

In addition to base compensation, this role is eligible for an annual incentive plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We’re Looking For:

Basic Required Qualifications:

• Strong Core Java 8+/Java EE design skills, including design patterns. 

• Significant experience in designing and executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.). 

• Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka. 

• Expertise in optimizing SQL queries on PostgreSQL databases. 

• Strong experience with multithreading, data structures, and concurrency scenarios. 

• Proficient in using REST APIs, XML, JAXB, and JSON in creating layered systems. 

• Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS). 

• Familiarity with Open AI APIs, Agentic AI – Crew / LangChain / RAG / AutoGen / NLP / Java / Python / REST / Telemetry / Security / Auditability. 

• Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding of the client onboarding lifecycle: initiation, due dil