Enterprise Application FinTech Architect

Capgemini Engineering; Bengaluru; On-site; INR 4,200,000 - 7,200,000; Full time

Job summary

Capgemini Engineering in Bengaluru seeks a senior Enterprise Architect to define and drive architecture strategies across digital banking, payments, cards and broad FinTech platforms. You will architect end-to-end financial applications, services, APIs, data, security, cloud and platform layers.

You will modernize legacy systems into API-first, microservices-based, event-driven, cloud-native architectures, delivering scalable, compliant, low-latency solutions.

Qualifications

• Experience in enterprise application architecture for large-scale financial-services environments.
• Strong domain understanding in digital banking, payments, cards, lending, capital markets, wealth management, insurance, KYC/AML.
• Proven experience delivering FinTech or banking-transformation programmes and platform modernization.
• 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.

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 modernization 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.

Skills

Java

Spring Boot

Spring Cloud

Microservices

API design

Apache Kafka

Cloud platforms

Kubernetes

Docker

DevSecOps

Event-driven architecture

Tools

Docker

OpenShift

CI/CD tooling

Job description

• 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.

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.