| AWS Architect at Remote, Remote, USA |
| Email: [email protected] |
| From: Aman Chauhan, Vbeyond [email protected] Reply to: [email protected] Candidate must be AWS Certified. Must have Terraform Exp. Must have more than 10+ 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 Keywords: continuous integration continuous deployment quality analyst artificial intelligence machine learning sthree |
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| Fri Mar 08 02:20:00 UTC 2024 |