Java Architect (with Capital Markets exp.) Acrhitect experience and CLM (Client Lifecycle Management) is MUST

Luxoft Top Employer

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:

o Working across backend, front-end, data, and AI functions, with a focus on modern architectures, AI-driven automation, and cross-jurisdictional data compliance.
o 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.
o Provide guidance and technical leadership to development teams on best practices, coding standards, and software design principles, ensuring high-quality outcomes.
o Demonstrate a deep understanding of existing system architecture (spanning multiple systems) and creatively envision optimal implementations to meet diverse client requirements.
o Play a key role in the development team to create high-quality, high-performance, and scalable code.
o Troubleshoot and resolve complex software issues and defects within the Java/Angular/PostgreSQL tech stack and AWS-based infrastructure.
o Build systems for KYC, AML, FATCA/CRS, LEI, and other regulatory checkpoints.
o Implement automation across entity matching, data validation, and workflow orchestration using AI/ML.
o Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling.
o Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns).
o Bring in proven experience working with or on Client Lifecycle Management and/or KYC workflow solutions, demonstrating a strong grasp of the subject matter.

 

Mandatory Skills Description:

o Strong Core Java 8+/Java EE design skills, including design patterns.
o Significant experience in designing and executing microservices using Spring Boot and other Spring components (JDBC, Batch, Security, Spring Data, etc.).
o Proficient in messaging tools such as Active MQ, SQS, SNS, and Kafka.
o Expertise in optimizing SQL queries on PostgreSQL databases.
o Strong experience with multithreading, data structures, and concurrency scenarios.
o Proficient in using REST APIs, XML, JAXB, and JSON in creating layered systems.
o Experience with AWS Services (AWS Lambda, AWS CloudWatch, API Gateway, ECS, ECR, SQS, SNS).
o Familiarity with Open AI APIs, Agentic AI – Crew / LangChain / RAG / AutoGen / NLP / Java / Python / REST / Telemetry / Security / Auditability.
o 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.
o Hands-on experience with entity resolution and matching (graph-based ID resolution, fuzzy match frameworks).
o Proven experience leading a development team on client lifecycle management products.
o Familiarity with BPMN tools (e.g., Camunda, Airflow, Drools) related to customization of modeler and engine.

 

Nice-to-Have Skills Description:

o Experience with enterprise architecture frameworks (TOGAF, Zachman) and threat modeling (STRIDE).
o Knowledge of data partitioning, GDPR, and the latest UI trends, such as Micro Frontend Architecture, is desirable.
o Experience with Pega / Appian is a plus

Required languages

English B2 - Upper Intermediate
SQL, Spring, Spring Boot, Java, Kafka
Published 12 March
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