Babulal Shaik

Designed and implemented scalable, highly available systems on AWS, including containerized applications using Amazon EKS. • Design, deploy, and optimize machine learning workloads on AWS, ensuring that infrastructure aligns with best practices for performance, security, and scalability. • Automated infrastructure deployment using AWS CloudFormation and Ansible. • Implemented IAM policies to enforce granular access controls and enhanced security. • Assessed client infrastructure and designed cost-effective cloud architectures to maximize return on investment. • Collaborated with DevOps teams to automate infrastructure deployment and ensured optimal utilization of AWS services. • Work with data scientists and ML engineers to build efficient, cost-effective, and resilient pipelines using AWS services like SageMaker, Lambda, and Step Functions. • Assisted customers in designing a distributed, fault tolerant, reliable, and reproducible cloud infrastructure following best practices by working with AWS CloudFormation, EKS (Elastic Kubernetes Service), ECS (Elastic containers service), EC2 (Elastic Cloud Compute), ELB. • Lead escalations for major customers involving c-level stake holders by building credibility through timely action and responsiveness. • Collaborated across multiple AWS cross functional teams and leaders to set the right technical priorities, solve operational design problems, and made data-driven decisions to appropriately influence the product roadmap to yield a measurable improvement to customer’s experience. • Leveraged Prometheus and Grafana for real-time monitoring and rapid diagnosis of production issues, enabling swift identification and resolution of system outages. Instrumental in reducing downtime through effective alerting and detailed visualizations, which facilitated quick root cause analysis and timely response to critical system anomalies. • Expert in the design and implementation of Infrastructure as Code (IaC) solutions using Terraform, specializing in the development of scalable, maintainable, and automated infrastructure frameworks across various cloud platforms. • Led interactive live learning labs to train and upskill engineers in utilizing Amazon EKS, effectively enhancing team competencies in Kubernetes and cloud-native technologies. Promoted a collaborative learning environment, contributing to the continuous professional development of the engineering team.