AWS cloud technical data Lead

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TCS is Hiring for AWS cloud technical data Lead

Experience Range: - 7+

Job Locations :Bengalore , Noida , Pune

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Job Requirements*

• 8 to 12 years of IT experience, including strong hands-on experience in AWS cloud architecture, application development, DevOps, and production-grade cloud delivery.

• Strong knowledge of AWS services such as EC2, VPC, IAM, S3, RDS/Aurora, Lambda, API Gateway, ECS/EKS, CloudWatch, CloudTrail, Secrets Manager, and Route 53.

• Experience in designing secure, scalable, resilient, and cost-optimized cloud solutions using AWS Well-Architected principles.

• Hands-on experience with IaC and automation tools such as Terraform, CloudFormation, GitHub/GitLab/Jenkins/Azure DevOps pipelines, Docker, and Kubernetes.

• Good understanding of microservices, REST APIs, event-driven architecture, databases, observability, cloud security, and release/deployment practices.

• Ability to lead technical design discussions, guide engineering teams, review deliverables, manage technical risks, and communicate clearly with client and internal stakeholders.

Key Responsibilities*

• Own end-to-end AWS technical solution design for application modernization, migration, integration, and cloud development initiatives.

• Translate business and architecture requirements into detailed technical designs, implementation plans, estimates, and delivery work packages.

• Lead developers and DevOps engineers, conduct design/code reviews, resolve technical blockers, and ensure engineering quality across the team.

• Implement and govern cloud best practices across security, networking, observability, scalability, backup, disaster recovery, and cost optimization.

• Build and maintain reusable accelerators, automation scripts, deployment pipelines, and infrastructure-as-code modules.

• Collaborate with architects, Scrum Masters, product owners, security teams, operations teams, and client stakeholders for successful delivery.

• Support incident analysis, RCA, performance tuning, technical documentation, knowledge sharing, and continuous improvement activities.