Project description
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
-Working 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.
-Play a key role in the development team to create high-quality, high-performance, and scalable code.
-Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure.
-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).
-Bring in proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter.
Skills
-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 diligence, approvals, legal entity structuring, and regulatory documentation.
-Hands-on experience with entity resolution and matching (graph-based ID resolution, fuzzy match frameworks).
-Proven experience leading a development team on client lifecycle management products.
-Familiarity with BPMN tools (e.G., Camunda, Airflow, Drools) related to customization of modeler and engine.
Nice to have
Experience with enterprise architecture frameworks (TOGAF, Zachman) and threat modeling (STRIDE).
Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable.
Experience with Pega / Appian is a plus
Languages
English: C1 Advanced