Role & responsibilities

Lead the overall architecture and delivery of cloud, data, AI, and enterprise solutions aligned with business goals. Set technical direction, standards, governance, and best practices, while managing risks and collaborating with business and technology teams To ensure that you will-
Lead architecture and engineering of secure, scalable AWS platforms enabling data, enterprise applications, DevOps, AI and MLOps.
Owns target architecture, standards, platform strategy, technical risk and production governance for complex cross-domain solutions

. • Design, build and operate scalable cloud-based data and application infrastructure as IaC; lead migration and modernization.
Develop reliable AWS data platforms and cloud-native architectures for analytics, data engineering and enterprise applications.
Define enterprise CI/CD, IaC, observability, resilience, secure supply-chain and platform engineering standards.
Architect governed AWS Bedrock and AI platforms covering access, retrieval, evaluation, guardrails and lifecycle controls.
Define MLOps strategy and architecture for training, registry, deployment,



monitoring, rollback, lineage and retirement.
Ensure security, networking, IAM, monitoring, logging, reliability, performance, regulatory alignment and cost efficiency.
Set technical standards, make architecture decisions, mentor engineers and align business, security and engineering stakeholders.

Your qualification/ minimum requirements -
AWS: IAM, VPC, EC2, S3, Lambda
CloudWatch, CloudTrail, Glue, Athena, RDS
Step Functions, Data Lake and Lake House
Robust Python, AWS CDK and IaC architecture
Advanced SQL and database design
Enterprise CI/CD and policy-as-code
AWS Well-Architected and FinOps
AWS Bedrock, Responsible AI and MLOps
AWS cloud security concept and architecture • CI/CD automation and CDK framework • Production rollout, operations and resilience
Governed AI platform and enterprise MLOps

More Information - • Software & Tool skills:

AWS, DevOps, AI / MLOps, AWS Bedrock, CI/CD

Preferred candidate profile

📌 Cloud Engineer Pune (India)
🏢 Option Us
📍 India