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ABOUT THE ROLE
We are looking for an Engineering Architect to define and drive the long-term technology strategy for our Fintech & Payments Engineering Group.
You will provide architectural leadership across multiple product lines, partnering closely with Engineering Managers, Product leaders, and Business stakeholders to build resilient, scalable, secure, and AI-native financial platforms.
This is a hands-on technical leadership role for someone who enjoys solving complex engineering problems at scale. You will influence technology direction across multiple teams, establish engineering standards, mentor senior engineers and architects, and ensure our platforms remain simple, extensible, and future-ready while operating at internet scale.
You will solve challenges at a scale very few engineering teams in India face
WHAT SUCCESS LOOKS LIKE
YOU (MUST HAVES)
NICE TO HAVES
Job ID: 153898015
Skills:
Master Data Management (MDM), Metadata Management, API design, Data Quality, Microsoft Azure, Data Governance, Intelligent automation, Enterprise data architecture, Data Catalog, Microservices architecture, Message queuing protocols, System integration techniques
Skills:
theming , API design, HTML, Angular, React, Typescript, Authentication, release management, CSS, Cloud Infrastructure, component lifecycle, styling architecture, dependency management, design tokens, adoption analytics, migration planning, backend systems, release governance, integration patterns, shared behavior, distributed application architecture, semantic versioning, package publishing, design-system governance, Web Components, Monitoring, package architecture, build pipelines, component composition
Skills:
API design, Data Modeling, Security, Salesforce Health Cloud PNM, Salesforce platform architecture, system integrations, integration skills, event-driven architectures, Vlocity OmniStudio
Skills:
Java, Node.js, API design, Automated Testing, Microservices, React, Gcp, system integration, Release Engineering, Azure, Python, AWS, event-driven patterns, Semantic Kernel, LangGraph, AutoGen, LLM-backed or agentic applications, CI/CD
Skills:
.NET, System Design, Python, Ai, Full-stack backend delivery, AI ML integration, Database Design Architecture, Building Scalable architecture