Work Experience: 10 to 18 Years
Work location: Bangalore/Pune/Gurgaon
Work Mode: Hybrid
Primary Responsibilities:
- Designs and maintains endtoend logical, physical, and technical architecture aligned to business needs.
- Defines conceptual models, highlevel system structures, and ensures integration across platforms and products.
- Experience on Cloud (Azure or AWS), Kubernetes is a must
- Good to have GEN AI / Agentic understanding
- Leads architecture specification for initiatives, including context, options analysis, reference architecture, decisions, dependencies, and NFRs.
- Ensures solutions comply with enterprise standards for security, encryption, data protection, and SDLC governance.
- Produces and maintains information architecture: data flows, integrations, conceptual models, deployment topology, failure/recovery plans, DR strategy, and security architecture.
- Identifies security or architectural gaps, proposes mitigations, and drives risk signoff as required.
- Creates and maintains domain reference architectures and reusable patterns for APIs, data integration, analytics/ML, and cloudnative platforms.
- Partners with Product, Engineering, Security, and Operations to translate business outcomes into executable architectural roadmaps with embedded checkpoints.
- Engineers solutions for performance, scalability, reliability, observability, cost efficiency, and data privacy.
- Communicates architecture clearly through artifacts and roadmaps; explains tradeoffs and cost implications.
- Participates in and often leads design reviews, architecture reviews, threat modeling, and release readiness checks.
- Builds PoCs, reference implementations, and migration strategies in partnership with engineering teams.
- Tracks, manages, and reduces technical, security, and operational risks.
- Stays current with emerging technologies and identifies opportunities for adoption.
- Participates in and may lead crossfunctional product development and R&D initiatives.
- Provides mentorship to engineers and architects; contributes to communities of practice and internal training.
- Influences multiple teams and supports strategic direction setting, including build/buy decisions and architectural tradeoffs.
- Good to have experience in AI and Generative AI to design and integrate intelligent solutions. Knowledge of RAG pipelines and Agentic AI frameworks for advanced retrieval and autonomous capabilities is preferred.
