Senior Architect - R01558324

Location: Bengaluru

Senior Architect

Primary Skills

AWS, AWS Elastic Beanstalk, AWS Sage Maker, AWS Code Build, AWS Cloud Fin Ops, AWS Lambda, AWS Dev Ops, AWS Development, AWS Code Deploy, AWS Serverless, AWS Code Pipeline, AWS Cognito, AWS Managed Services, AWS EC2, AWS Infrastructure (Provisioning & Automation), AWS ELB, Solution Architecture - AWS, AWS Database, AI/ML, AWS Quick Sight, AWS Step Function, AWS Security, AI in Design Process

Specialization

AWS Architecture:
Software Development Manager

Job requirements

To succeed, this Role's Responsibilities Would Involve:
Architecture & Solutioning
Design AI-enabled architectures for highly available, scalable, efficient, secure, and optimized cloud infrastructure services and applications on AWS, using LLMs, Agentic AI, and services such as Amazon Bedrock and Sage Maker.
Integrate AWS services (including cross-account) using AWS SDK for governance, security automation, provisioning frameworks, and cloud workflows.
Design event-driven architectures using API Gateway, Lambda, Step Functions, SQS/SNS, Dynamo

DB streams, Code Build etc.
Define and implement cloud adoption, modernization, and migration strategies. Frameworks & Reusable Platforms
Build reusable frameworks integrating AWS services to accelerate delivery of cloud-native and GenAI-based solutions.
Develop accelerators for serverless apps, CI/CD, AI inference pipelines, and cloud provisioning. Dev Ops, Infra Automation & Governance
Implement IaC using Cloud Formation (expert-level), CDK, or Terraform (optional).
Build CI/CD automation using Code Pipeline, Code Build, Code Deploy.
Enable cloud security, observability, monitoring, logging, and compliance best practices.
Contribute to multi-account governance, Landing Zone / Control Tower design, and cross-account automation. AI/LLM Integration & Enablement
Architect and integrate GenAI and LLM-based features into enterprise applications.
Build inference pipelines, embeddings workflows, prompt-management layers, and RAG-based solutions.
Evaluate new AI offerings across AWS (Bedrock models, fine tuning, Agents for Bedrock, Guardrails).
Provide guidance on scalable AI infrastructure, model selection, tuning, vector indexing, and latency optimization. Leadership & Collaboration
Guide and mentor engineering teams, remove technical blockers, and ensure delivery quality.
Support WBS creation, estimation, and SOW preparation for cloud and AI engagements.
Evaluate new AWS services and drive PoCs/PoVs with strong business justification.
Participate in architectural governance, design reviews, and solution accelerators. Mandatory Skills
12+ years of overall experience; strong focus on application and infrastructure architecture (minimum 10 years in application dev/architecture in AWS services)
Extensive hands-on experience with AWS services: serverless and event-driven architecture (API Gateway, Lambda, Dynamo

DB, SQS, SNS, Step Functions, Code Build etc.)
Experience integrating AI/LLM capabilities using AWS Bedrock, Sage Maker, Open Search, or similar stack.
Good experience with compute, network, storage, security, deployment, and automation in AWS
Expertise at the SDK level for AWS services (i.e., deep familiarity with how services are programmatically consumed)
Application development background (preferably Node.js or Python)
Focus on cost, capacity sizing, optimisation of AWS services (balancing performance, scale and investment)
Strong experience writing infrastructure-as-code (preferably AWS Cloud Formation)

Experience with AWS native Dev Ops/CI/CD components (e.g., Code Build, Code Pipeline, Code Deploy)

Experience with version control systems (Git)
Solid understanding of networking, security, and architectural best-practices in cloud environments
Excellent communication skills (written and presentation) and ability to articulate architectural decisions clearly
Strong organisational/time-management discipline and ability to work across multiple work streams Good To Have Skills

Experience with prompt engineering, embeddings, vector stores (Open Search, Dynamo

DB + vector indexing, Redis).

Experience with AWS RDS, Dynamo

DB advanced patterns (global tables, streams, TTLs, on-demand backup/restore)
Familiarity with service catalog, governance tooling, cross‐account provisioning, and framework development for enterprise cloud governance