Job Description

Candidate must be AWS Certified.

Must have Terraform Exp.

Must have more than 15 years of experience in developing applications using AWS cloud native stack.
Must have experience working with AI/ML applications including AWS Sagemaker Azure AI Studio and Azure cognitive services.
Must have experience working with AWS or Azure cognitive services. Experience in architecture and implementation of large and highly complex projects and Data science projects including AWS Bedrock.
Expertise in defining architecture high level design low level design developing solutions in AWS Cloud.
Utilizing services like AWS Lambda API Gateway and exposure to developing serverless applications.
Expertise in designing data processing and visualization with Python Tableau.
Experience in monitoring & Observability.
Knowledgeable working in SQL and NoSQL database optimizing & tuning queries tables.
Ability to perform quick discovery work and POCs with business in data engineering tasks.
Nice to have scripting knowledge with Shell or Python. Exposure to Devops and CI/CD pipeline technologies including EKS Kubernetes S3 automations EC2 GPU Machines Python Terraform RDS FinOps.
Expertise on CICD and Devops using Gitops Bitbucket driven automations.
Maintain and improve data integration pipelines for performance.
Domain knowledge in Pharma life sciences and drug discovery will be value add.
Ability to create estimation and plan for deliverables.
Experience in scrum/agile framework and methodology
Work with crossfunctional teams to ensure quality throughout the software development lifecycle drive technical requirements sessions scrum calls.
Collaborate with development QA team in developing effective strategies test plans and deliver products to business
Excellent communication skills and Attention to details
Analytical mind and problemsolving aptitude

Job Tags

Full time,

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