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.
What’s in it for you
* Build a next‑generation product that customers can rely on for informed business decisions, enhanced customer experiences, and scalability.
* Develop your skills by working on an enterprise‑level product focused on client lifecycle management and associated new technologies.
* Gain experience with modern, cutting‑edge cloud, AI, and platform engineering technologies.
* Collaborate directly with clients, commercial teams, product managers, and tech leadership toward the common goal of achieving business success.
* Build a rewarding career with a global company.
Duties & Accountabilities
* 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.
* Contribute on best practices, coding, 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.
* 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.
* 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).
Education and Experience
* Bachelor’s degree in computer science or a related field.
* Proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter.
* Extensive experience in a team environment following Agile software development principles.
* Strong interpersonal and written communication skills.
* Demonstrated ability to successfully manage multiple tasks simultaneously.
* High energy and a self‑starter mentality, with a passion for creative problem‑solving.
Technical Skills
* 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).
* Familiarity with BPMN tools (e.g., Camunda, Airflow, Drools) related to customization of modeler and engine.
* Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable.
* Experience with Pega / Appian is a plus.
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