Prapti Gupta

Cloud Engineer

Gurugram, Haryana, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in optimizing cloud infrastructure with AWS and Kubernetes.
Certified AWS Solutions Architect and Kubernetes professional.
Passionate about automation, scalability, and security in cloud technologies.

Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in AWS and Kubernetes for enterprise solutions.

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Skills

Core Skills

Amazon Web Services (aws)Kubernetes

Other Skills

TerraformCI/CD AutomationMonitoring & LoggingCost Optimization & SecurityDatabase Management System (DBMS)AlgorithmsData StructuresOperating SystemsDocker ProductsHelm (Software)JenkinsGrafanaLinux

About

Cloud Engineer at D. E. Shaw Group with a B.Tech in Computer Science from NIT Rourkela. I specialize in managing cloud infrastructure, particularly with AWS and Kubernetes, focusing on automation, scalability, and security. Certified in AWS Solutions Architect and Kubernetes, I’m passionate about cloud technologies, DevOps, and open-source contributions. Always eager to learn and collaborate, I contribute to projects that drive innovation in cloud computing.

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

The d. e. shaw group

Cloud Engineer

Jul 2022 – Present · 3 yrs 10 mos · Gurugram, Haryana, India · Hybrid

As a Cloud Engineer at D. E. Shaw Group, I focus on optimizing Kubernetes clusters and managing cloud infrastructure on AWS, ensuring high availability and fault tolerance for production workloads. I work closely with DevOps teams to automate cloud resource provisioning, implement CI/CD pipelines, and optimize containerized applications for performance and scalability.
Key Responsibilities:
Kubernetes Management: Administer and scale Kubernetes clusters using Amazon EKS, configuring worker nodes, Helm charts, and RBAC policies to ensure efficient orchestration.
Infrastructure as Code (IaC): Implement Terraform for automated provisioning of cloud resources, ensuring repeatable and scalable infrastructure deployments.
CI/CD Automation: Develop and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, and Jenkins, enabling seamless deployment and integration of microservices.
Monitoring & Logging: Integrate Prometheus and Grafana for Kubernetes cluster monitoring; utilize CloudWatch and ELK Stack for centralized logging and performance metrics.
Cost Optimization & Security: Leverage AWS Cost Explorer to monitor and optimize resource usage; enforce IAM policies and AWS security best practices, including encryption at rest and in transit, and security group management.
Incident Response: Troubleshoot and resolve production incidents using AWS CloudTrail for auditing and QuickSight for root cause analysis.