Solution Architect (CLM/KYC)

DXC Luxoft; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Luxoft is seeking a senior Java developer to join our end-to-end CLM initiative in India. You will design and lead backend, data, and AI integration efforts across Java/Spring Boot, Angular, and PostgreSQL, with AWS infrastructure supporting multi-year deployment.

You will guide teams on best practices, tackle complex system challenges, and deliver scalable solutions for client onboarding, due diligence, and regulatory documentation while ensuring data privacy and cross-jurisdiction compliance.

Qualifications

• Strong Core Java 8+/Java EE design skills.
• Experience with microservices using Spring Boot and related components.
• Proficiency with messaging systems like Active MQ, SQS, SNS, Kafka.
• Skill in optimizing PostgreSQL SQL queries.
• Multithreading, data structures, and concurrency handling.
• REST, XML, JAXB, and JSON in layered systems.
• AWS services including Lambda, CloudWatch, API Gateway, ECS, ECR, SQS, SNS.
• Familiarity with OpenAI APIs and agentic AI tooling.
• Domain knowledge in client onboarding, KYC, regulatory workflows.
• Experience with entity resolution and graph-based matching.
• Proven leadership on client lifecycle management products.
• Familiarity with BPMN tools (Camunda, Airflow, Drools).

Responsibilities

• Design and architect solutions for complex client lifecycle challenges.
• Provide technical leadership and enforce coding standards.
• Guide teams on best practices across Java/Spring/Angular stack.
• Understand multi-system architecture and propose optimal implementations.
• Develop high-quality, scalable code in a team setting.
• Troubleshoot issues in Java/Angular/PostgreSQL on AWS.
• Build systems for KYC/AML/regulatory checks.
• Implement automation and AI-driven data orchestration.
• Apply agentic AI to onboarding and document processing.
• Ensure data privacy, sovereignty, and regulatory compliance.
• Leverage experience in CLM and KYC workflows.

Skills

Core Java 8+/Java EE design

Microservices with Spring Boot

Messaging with Active MQ/SQS/SNS/Kafka

SQL optimization (PostgreSQL)

Multithreading & concurrency

REST/XML/JSON APIs

AWS services (Lambda,CloudWatch,API GW

OpenAI APIs / Agentic AI / LangChain /

Client lifecycle / KYC domain

Entity resolution / graph matching

Leadership of dev team

BPMN tools (Camunda, Airflow, Drools)

Tools

AWS

Job description

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

Must have

• 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