Arvind yanganti
Open to work4 years experienceAWS DevOps Engineer
AWS DevOps Engineer | Cloud Engineer | AWS | Amazon EKS | Jenkins | Git | 4+ Years Experience
Standing Rank
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Skills & Technologies
28 skillsGitHub Activity Evidence
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Work Experience
AWS Devops Engineer
Randstad Digital Pvt Ltd (Deputed to NVIDIA)
- Designed and automated AWS infrastructure provisioning using Terraform and Ansible, and streamlined cloud infrastructure lifecycle management using Infrastructure as Code (IaC) principles to improve deployment consistency and reduce manual effort.
- Built and maintained CI/CD pipelines with Jenkins and Argo CD (GitOps), enabling automated, reliable application deployment across development, staging, and production environments.
- Managed Kubernetes clusters on Amazon EKS, supporting highly available containerized workloads through rolling updates and zero-downtime deployments across production systems.
- Implemented monitoring and observability using Prometheus, Grafana, NVIDIA DCGM Exporter, and AmazonCloudWatch, alongside secure secret management using AWS Secrets Manager and HashiCorp Vault.
- Reduced AWS infrastructure costs by approximately 25% through Auto Scaling, resource optimization, and automated shutdown policies, while integrating Jira approvals, Selenium, and JUnit into CI/CD pipelines to improve release quality
Projects
Deep Map Real-Time Tracking Pipeline
- Provisioned complete AWS infrastructure using Terraform, reducing manual provisioning effort and ensuring consistent, repeatable environments through Infrastructure as Code (IaC) principles.
- Designed and managed Amazon EKS clusters for scalable container orchestration, using Helm charts to standardize application packaging and simplify deployments across environments.
- Containerized applications using Docker and deployed workloads with Kubernetes, ensuring efficient resourceutilization and high availability for real-time tracking workloads.
- Developed automated CI/CD pipelines using Jenkins and Argo CD, enabling continuous integration and GitOps-based deployments with minimal manual intervention.
GPU Observability Dashboard
- Built centralized dashboards using Grafana to visualize infrastructure health and GPU performance metrics in real time for engineering teams.
- Integrated Prometheus with NVIDIA DCGM Exporter to collect detailed GPU metrics, including utilization, temperature, and memory usage, across Kubernetes clusters.
- Configured proactive alerting for GPU utilization, node failures, memory usage, and application performance, reducing incident response time for critical workloads.
- Integrated monitoring with Amazon CloudWatch to consolidate infrastructure and application-level visibility,improving overall operational awareness across the environment.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Associate
About Details
Professional Bio
AWS DevOps Engineer with 4+ years of experience designing, automating, deploying, and managing cloud-native infrastructure on AWS. Skilled in IaC, container orchestration, and CI/CD pipeline automation. Proven track record of improving deployment reliability and reducing cloud costs.
B.Tech in Mechanical Engineering
N.B. Navale Sinhgad College of Engineering (2016 - 2020)