AWS DevOps Engineer - CI/CD, Kubernetes, Terraform

HARISH KUMAR

+91-729******* ****************@*****.*** linkedin.com/in/harish-kumar-devops Mumbai, Maharashtra PROFESSIONAL SUMMARY

DevOps Engineer with hands-on experience in AWS cloud infrastructure, CI/CD automation, containerized deployments, multi-cloud migration, monitoring, and infrastructure automation. Skilled in Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Python and Shell scripting, with experience supporting production workloads and improving deployment reliability, performance, and operational efficiency.

EXPERIENCE

KAS Global Commerce Inc. [MySellerCentral Team] — DevOps Engineer Sept 2024 – Present Mumbai, India

• Designed and implemented Infrastructure as Code (IaC) using Terraform, reducing environment setup time by 40% and ensuring reproducibility across environments.

• Optimized CI/CD pipelines using Jenkins and GitHub Actions by adding automated testing and rollback strategies, improving deployment success rates by 35%.

• Integrated AWS CloudWatch with PagerDuty and Slack to automate critical system alerts, enabling 24/7 on-call support and reducing Mean Time to Resolution (MTTR) by 15%.

• Implemented Kubernetes (EKS) auto-scaling to handle traffic spikes, ensuring high availability for 10,000+ users.

• Strengthened AWS IAM and VPC security policies, achieving a 40% improvement in compliance with internal security standards.

• Reduced AWS infrastructure costs by 20% through resource optimization across EC2, S3, and RDS.

• Automated log management, backups, and deployment validation workflows using Python and Shell scripting, saving 15+ hours of manual effort monthly.

Additional Project Experience

AWS Cloud Infrastructure & Application Deployment

• Deployed containerized APIs on EC2 using Docker and managed application deployments in AWS.

• Deployed static frontend applications using S3 and CloudFront for scalable content delivery.

• Managed AWS infrastructure components including VPC, EC2, S3, RDS, IAM, Route 53 and CloudWatch. CI/CD Automation & Production Deployment

• Built and managed CI/CD workflows using AWS CodePipeline and CodeBuild for automated application build and deployment.

• Troubleshot build, dependency, memory and deployment failures across application delivery pipelines. Serverless API Monitoring & Troubleshooting

• Managed API Gateway and Lambda integrations and analyzed API routes, Lambda invocations, duration, errors and throttling using CloudWatch.

• Investigated abnormal Lambda invocation and cost spikes and coordinated remediation with development teams. AWS-to-GCP Cloud Migration

• Supported migration of application workloads from AWS to GCP, including cloud infrastructure and application deployment activities. People Matters — Data Entry Operator Mar 2023 – Aug 2024 Gurgaon, Haryana

• Managed backend workflows and deployment processes across 5+ major projects, ensuring seamless integration and improving overall delivery efficiency by 40%.

• Established clear communication channels with Team Leads and Project Managers, achieving 95% adherence to project timelines and enhancing operational reliability.

• Conducted analysis of system requirements and deployment feasibility, improving alignment with client expectations by 35% and reducing revision cycles by 25%.

• Streamlined project execution by automating repetitive tasks and optimizing workflows, leading to a 30% reduction in turnaround time and a 25% increase in team productivity.

• Implemented monitoring and reporting mechanisms to track project health and performance, boosting client satisfaction ratings by 40%.

EDUCATION

Dr B.C Roy Engineering College — B.Tech in Mechanical Engineering Aug 2018 – Jun 2021 Durgapur, West Bengal Sri Ram Polytechnic — Diploma in Mechanical Engineering 2015 – 2018 Madhubani, Bihar TECHNICAL SKILLS

Programming: Python, Shell Script DevOps: Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, Git, SonarQube, Trivy, Nginx

AWS: EC2, EKS, S3, RDS, EBS, ECR, VPC, Subnets, Internet Gateway, NAT Gateway, Route Tables, Site-to-Site VPN, VPC Peering, Route 53, CloudWatch, CloudTrail, CodePipeline, CodeDeploy, CodeBuild, Lambda, SNS, SQS, SES, Elastic Beanstalk, Load Balancer, Auto Scaling, DynamoDB

GCP: Compute Engine, GKE, Cloud Storage, Cloud SQL, Persistent Disk, Artifact Registry, VPC, Cloud NAT, Cloud Monitoring, Cloud Audit Logs, Cloud Build, Cloud Deploy, Pub/Sub, Cloud Functions, App Engine, Load Balancing, Managed Instance Groups Azure: Azure VM, AKS, Blob Storage, Azure SQL, Managed Disks, ACR, VNet, Subnets, NAT Gateway, Route Tables, VNet Peering, Azure DNS, Azure Monitor, Azure DevOps, Azure Functions, Service Bus, Load Balancer, VM Scale Sets, Cosmos DB AI Tools: ChatGPT, Claude

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