Job Description

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 Dev-ops 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 cross-functional 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 problem-solving aptitude

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