Cloud Infrastructure Devops Engineer

YESHWANTH

E-mail:***************@*****.***

Mobile: +1-470-***-****

Professional Summary:

DevOps professional with 5+ years of experience in architecting and executing fully automated CI/CD pipelines, significantly reducing deployment time and boosting deployment frequency. Proficient in cloud platforms such as AWS and Azure, adept in infrastructure as code practices, and skilled in deploying monitoring and alerting systems.

5 Years of experience in the field of Cloud & DevOps, in building cloud infrastructure and implementing DevOps practices.

Experienced in Application Configurations, Building, Packaging, Automating, Mangining and releasing codes across various environments and deploying to cloud services.

Involved in day-to-day troubleshooting and performance checks for the end users on Linux based applications.

Skilled with Linux Utilities : SSH, User Management, Process Management, Memory Management, Text processing tools, Log Management, Package Management, Disk Management and Swap Partition/Files Management.

Experienced in infrastructure development and operations, involving the design and deployment of solutions using key AWS services like VPC, EC2, EKS, ECR, IAM, S3, CloudFormation, CloudWatch, Route 53 etc for effective cloud solutions.

Deploying, managing, and operating scalable and highly available systems on cloud using Terraform Infrastructure As Code(IaC).

Experience with all phases of software development life cycle (SDLC) and Agile development methodology.

Maintained version control systems and ensured code integrity using SCM tools like Git, GitHub and SonarQube on Linux platforms.

Proficient in creating CI/CD pipelines using Jenkins, enhancing build and deployment process.

Led the development of Docker containerization strategies, including creating custom Docker images to mirror development and QA environments on local setups.

Executed and monitored builds and deployments across multiple stages (QA, UAT and Production) with Jenkins Pipelines and managed configurations using Ansible.

Experienced in deploying production workloads on Kubernetes using cloud platforms like AWS EKS with Jenkins Integrations.

Knowledge on project management and issue tracking tools like JIRA, facilitating clear communication and efficient resolution of development tasks.

Implementing monitoring dashboards for various applications and monitored real-time and historical metrics using Prometheus & Grafana.

Demonstrated exceptional analytical and problem-solving skills, capable of independent work as well as collaborative team efforts.

Excelled in communication, organisational abilities, and client interaction, reliably handling business inquiries and support

TECHNICAL SKILLS

PROFESSIONAL EXPERIENCE:

Client: Corning Incorporated

Position: Devops Engineer June 2024 - Present

Established security scanning pipelines integrating SonarQube, Snyk, OWASP ZAP, and Checkmarx, achieving 100% code coverage and identifying 500+ vulnerabilities before production deployment.

Architected DevSecOps pipelines using GitHub Actions and ArgoCD for 50+ financial microservices, reducing deployment times from hours to 45 minutes Cloud Technologies AWS, Azure

Build Tools Gradle, Ant, Maven

Automation Tools Chef, Ansible

Web Server Tomcat, Nginx

Web Technologies JavaScript, Xml, Http/Https

Configuration Management Tools Ansible, Terraform

Monitoring Tools Prometheus, Grafana

Languages Python, Linux

Database Amazon RDS, MySQL, Cosmos DB

Operating Systems Linux (Unix, Red Hat, Ubuntu)

Bug Tracking Jira, Bugzilla

Orchestration Kubernetes (EKS, AKS)

with zero downtime.

Engineered Infrastructure as Code solutions using Terraform and AWS CloudFormation, managing 200+ AWS resources across environments and achieving 95% infrastructure consistency while reducing provisioning errors by 80%.

Executed container security strategies using Docker, Amazon EKS, and Trivy, Falco security tools, scanning 1,000+ container images weekly and reducing critical vulnerabilities by 75% through automated workflows.

Orchestrated Kubernetes deployments on Amazon EKS and AWS Fargate, managing clusters serving 10M+ daily transactions and implementing auto scaling policies that reduced infrastructure costs by40%.

Deployed monitoring solutions using Prometheus, Grafana, ELK Stack, and AWS CloudWatch, processing 50TB+ logs daily and reducing MTTR by 65% through proactive alerting.

Implemented secrets management using Hashi Corp Vault and AWS Secrets Manager, securing 1,000+ credentials and achieving 100% compliance with financial security standards (PCI DSS, SOX, FFIEC).

Optimized Jenkins shared libraries and pipeline as code automation, implementing advanced deployment strategies and automated rollback mechanisms, reducing failed deployments by 90% and enabling seamless rollbacks across production environments.

Spearheaded the migration of 250+ microservices to Kubernetes (EKS) across 5 cross-functional teams, standardizing deployments via Helm and GitOps, which improved release frequency and reduced platform inconsistencies TECH MAHINDRA Jan 2021–

July 2023

DevOps Engineer (Azure, Docker, AKS)

Designed and managed a rental equipment platform using AWS and Kubernetes, ensuring seamless integration of rental processes, transaction workflows, and security measures.

Developed and optimized data visualization dashboards using Grafana and Prometheus, enabling real-time monitoring of rental equipment usage and transaction statuses.

Implemented secure transaction gateways for rental equipment s, adhering to industry-standard security protocols like TLS and tokenization to protect sensitive customer data.

Streamlined equipment tracking and rental workflows by integrating Kubernetes-based microservices, enhancing platform reliability and operational efficiency.

Enhanced platform scalability and fault tolerance by designing multi-cloud environments on AWS and Azure, leveraging Terraform and CloudFormation for automated provisioning.

Improved transaction reconciliation processes by automating data pipelines with Python scripts, reducing manual intervention by 40%.

Architected containerized environments for the platform using Docker and Kubernetes, ensuring zero-downtime deployment during feature updates.

Automated platform compliance checks with PowerShell scripts, generating reports on data privacy, transaction security, and system configurations.

Implemented robust backup and disaster recovery strategies for data using AWS S3, EBS snapshots, and automated PowerShell workflows, reducing downtime risk.

Optimized cost and resource utilization for platform infrastructure using Ansible for configuration management and AWS CloudWatch for detailed resource monitoring.

Secured sensitive transaction data by integrating IAM role-based access control and multi-factor authentication, reducing unauthorized access incidents by 25%.

Migrated on-premises VMware environments to AWS IaaS for platforms, reducing infrastructure costs and improving scalability.

Terraform scripts for automated setup of application environments, including Dev, Staging, and Production, ensuring consistency and reducing setup time by 50%.

Integrated real-time alerts for equipment failures and issues using SNS and CloudWatch, enabling faster incident response.

Deployed CI/CD pipelines using Jenkins and Ansible to automate build, test, and deployment processes for platform updates, reducing deployment time by 35%.

Automated container management for the rental platform with Kubernetes, supporting consistent scaling and availability across cloud environments.

Implemented Nexus Firewall to secure CI/CD pipelines, ensuring that only trusted components entered the build and deployment workflows.

Collaborated with cross-functional teams to develop and deploy secure APIs for equipment rentals, transaction processing, and customer notifications.

Enabled platform analytics and insights by integrating Elasticsearch and Kibana, providing detailed reports on rental patterns and transaction trends.

Reduced platform downtime by implementing proactive monitoring and alerting for critical services, improving customer satisfaction by 30%., Nexus, VMware, Linux.

UNIFIED IT SERVICES NOV 2019–

DEC 2020

DevOps Engineer

Deployed AWS EC2 Instances behind Elastic Load Balancers and Auto Scaling, making sure of High Availability by deploying workloads across Multiple Availability Zones.

Deployed RDS Instances and provided endpoint details to Database teams and managed database Snapshot Methods.

Provisioned EBS Volumes & Created File Systems on EBS as per business needs, Scheduled EBS Automatic Snapshots with Lifecycle Manager.

Configured and Managed IAM Roles for EC2, S3, EKS etc.

Designed Highly Available VPC for a 3-Tier Application Architecture, managing Security Groups, NACL’s, Gateways (NAT), Route Tables and Subnets.

Experienced in writing Python Scripts, configured lambda function to run daily basis backups based on retention policies.

Understanding organizational requirements for infrastructure to procure Workstations and Deploying EC2 Instances.

Wrote Python & Shell Scripts to perform cross region backup for EC2 AMI’s

Handled Production Deployments and conducted performance impact analysis with QA Team.

Eliminated single point of failure in production environments and Configured Self healing based architectures, failover routing policies, ELB Health checks based on customers resiliency and availability requirements.

Managed provisioning of AWS infrastructure using CloudFormation Templates.

Implemented security best practices in AWS including multi-factor authentication, access key rotation, role based permissions, enforce strong password policy, configured security groups, NACL’s, S3 Bucket Policies, ACL’s.

Generating assessments, Develop and implement actionable recommendations based on results and review.

Optimized cost through reserved instances, selection and changing of EC2 instance types based on resource needs, S3 storage classes and S3 lifecycle policies.

Used CloudFront to deliver content from AWS edge locations to users, allowing for further reduction of load on the front-end server.

Configured CloudWatch alarm rules for operational and performance metrics for AWS resources.

CERTIFICATIONS

AWS Certified DevOps Engineer – Professional – Amazon Web Services

AWS Certified Cloud Practitioner - Amazon Web Services Educational Qualification:

Bachelor’s degree in computer science engineering

Master’s in information technology

Contact this candidate