Enterprise Application FinTech Architect
Capgemini
- Location
- Bengaluru, Karnataka, India
- Job type
- Full-time
Required skills
- AWS
- Angular
- Apache
- Apache Kafka
- automated testing
- Azure
- banking
- caching
- capital markets
- compliance
- Docker
- end-to-end
- fintech
- frontend
- Google Cloud
- GraphQL
- Java
- JavaScript
- Kafka
- Kubernetes
- React
- Serverless
- SRE
- TypeScript
- RESTful
About the role
Capgemini
Website:
capgemini.com
Job details:
Roles & Responsibilities
- Define enterprise and solution architecture strategies for digital banking, payments, cards, lending, capital markets, wealth management, insurance, transaction banking and broader FinTech platforms.
- Architect end-to-end financial applications across customer channels, mobile and web platforms, domain services, APIs, integration, data, security, cloud and platform-engineering layers.
- Lead the modernisation of legacy and monolithic financial systems into domain-aligned, API-first, microservices-based, event-driven, containerised and cloud-native architectures.
- Define target-state architectures, transition roadmaps and reusable patterns aligned with business capabilities, regulatory requirements and enterprise transformation objectives.
- Design secure, resilient, highly available, scalable and low-latency solutions that meet financial-services regulations, data-residency requirements and enterprise-risk controls.
- Provide architecture leadership for payment processing, digital onboarding, KYC and AML, fraud and risk management, lending, cards, open banking, real-time payments, transaction banking and financial-data platforms.
- Design highly scalable, secure and responsive web and mobile application architectures using modern frontend and cross-platform technologies.
- Define API-led integration, domain-driven design, event-driven architecture and distributed-system patterns for complex financial ecosystems.
- Architect real-time and asynchronous processing solutions using Kafka or equivalent event-streaming and messaging platforms.
- Define Generative AI and Agentic AI use cases across customer servicing, intelligent operations, software engineering, compliance, document processing, fraud investigation, knowledge management and workflow automation.
- Architect enterprise-grade Generative AI solutions using foundation models, LLM gateways, retrieval-augmented generation, vector databases, model routing, prompt and context management, evaluation, observability and guardrails.
Our Ideal Candidate
- Extensive experience in enterprise application, solution and platform architecture for large-scale financial-services environments.
- Strong domain understanding in one or more areas such as digital banking, payments, cards, lending, capital markets, wealth management, insurance, transaction banking, KYC and AML, fraud or regulatory reporting.
- Proven experience delivering large-scale FinTech or banking-transformation programmes and platform-modernisation initiatives.
- Hands-on architecture expertise in Java, Spring Boot, Spring Cloud and enterprise Java ecosystems.
- Strong experience with RESTful APIs, GraphQL, API management and API-led integration.
- Deep understanding of microservices, distributed systems, domain-driven design and bounded-context architecture.
- Strong expertise in event-driven architecture, messaging and stream-processing patterns.
- Experience with Apache Kafka or equivalent event-streaming technologies.
- Strong knowledge of workflow engines, service mesh, caching, distributed transactions and integration patterns.
- Experience designing modern web applications using React, Angular, TypeScript or JavaScript.
- Experience architecting native or cross-platform mobile applications.
- Strong understanding of mobile security, API security, customer identity and high-volume digital-channel architecture.
- Architecture experience on AWS, Microsoft Azure or Google Cloud Platform.
- Strong knowledge of Kubernetes, OpenShift, Docker, serverless computing and cloud-native deployment models.
- Experience with managed cloud integration, messaging, data, observability and security services.
- Expertise in DevSecOps, CI/CD, Infrastructure as Code, platform engineering, observability, SRE and automated testing.
- Experience defining environment, deployment, release and operational-support strategies for regulated applications.
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.
