6+ years of rich professional experience in IT industry with major focus on Software Configuration Management (SCM) and Build/Release Management, Kubernetes, DevOps and AWS, Azure, GCP cloud environments. • Skilled in configuring and deploying micro services across various cloud environments like AWS, Azure & with expertise in Compute, Kubernetes Engine, and Stack driver Monitoring, Elastic Search, and security group management. • Experience on complete software development lifecycle (SDLC) with software development models like Agile, Scrum Model, and Waterfall models. • Extensive experience in Docker, Kubernetes, GIT, Azure, AWS, DevOps, Terraform, Build/Release Management, Cloud Management, Containerization and Databases. • Hands-on experience in Deploying Kubernetes Clusters on cloud environment, wrote many YAML files to create services like pods, deployments, auto scaling, load balancers, labels, health checks, Namespaces, Config Map, etc. • Optimized cloud costs by implementing auto scaling with Cluster Autoscaler, Horizontal pod autoscaler(HPA).

Anil Kumar

6+ years of rich professional experience in IT industry with major focus on Software Configuration Management (SCM) and Build/Release Management, Kubernetes, DevOps and AWS, Azure, GCP cloud environments. • Skilled in configuring and deploying micro services across various cloud environments like AWS, Azure & with expertise in Compute, Kubernetes Engine, and Stack driver Monitoring, Elastic Search, and security group management. • Experience on complete software development lifecycle (SDLC) with software development models like Agile, Scrum Model, and Waterfall models. • Extensive experience in Docker, Kubernetes, GIT, Azure, AWS, DevOps, Terraform, Build/Release Management, Cloud Management, Containerization and Databases. • Hands-on experience in Deploying Kubernetes Clusters on cloud environment, wrote many YAML files to create services like pods, deployments, auto scaling, load balancers, labels, health checks, Namespaces, Config Map, etc. • Optimized cloud costs by implementing auto scaling with Cluster Autoscaler, Horizontal pod autoscaler(HPA).

Available to hire

6+ years of rich professional experience in IT industry with major focus on Software Configuration Management
(SCM) and Build/Release Management, Kubernetes, DevOps and AWS, Azure, GCP cloud environments.
• Skilled in configuring and deploying micro services across various cloud environments like AWS, Azure & with
expertise in Compute, Kubernetes Engine, and Stack driver Monitoring, Elastic Search, and security group
management.
• Experience on complete software development lifecycle (SDLC) with software development models like Agile,
Scrum Model, and Waterfall models.
• Extensive experience in Docker, Kubernetes, GIT, Azure, AWS, DevOps, Terraform, Build/Release Management,
Cloud Management, Containerization and Databases.
• Hands-on experience in Deploying Kubernetes Clusters on cloud environment, wrote many YAML files to create
services like pods, deployments, auto scaling, load balancers, labels, health checks, Namespaces, Config Map, etc.
• Optimized cloud costs by implementing auto scaling with Cluster Autoscaler, Horizontal pod autoscaler(HPA).

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Senior DevOps Engineer at Anaplan
April 1, 2024 - Present
Led automation of build and deployment processes, re-engineering the setup for a better user experience and establishing a continuous integration system for multiple products. Implemented a broad AWS footprint (EC2, S3, VPC, ELB, AMI, EBS, RDS, DynamoDB, Lambda, Auto Scaling, Route53, Subnets, NACLs, CloudFront, CloudFormation, CloudWatch, CloudTrail, SQS, SNS) and managed private cloud provisioning with Chef. Supported multi-user R environments with package versioning, user profiles, and persistent storage for collaborative workflows. Designed and operated Kubernetes clusters on AWS for high availability and scalability across environments. Authored Chef cookbooks in Ruby and used Ansible for configuration management to deploy and manage AWS infrastructure. Automated logging and monitoring with Splunk via Ansible. Provisioned infrastructure with Terraform and Ansible, and authored YAML configurations for CI/CD pipelines. Integrated GitLab runners with R Studio environments and externa
AWS DevOps /Build/Release Engineer at Telus
February 1, 2021 - April 1, 2024
Developed automation and services in the AWS ecosystem to support growth initiatives, including a Python/TensorFlow based Instagram engagement service and a data-driven reporting system using Python, Django, PostgreSQL, TypeScript, and React. Implemented CI/CD via Harness across Dev, CERT, SBA, PERF, TRN, Pre-Prod and Prod environments; automated infrastructure tuning to handle demand with Kubernetes, Docker, and AWS microservices, achieving cost and time savings (~10%). Architected scalable AWS infrastructure (EC2, EBS, S3, VPC, RDS, Elastic Cache, ELB, CloudFront, CloudFormation, CloudWatch, Route53). Implemented data lifecycle policies, automated snapshot creation/deletion in S3, and leveraged Terraform for provisioning. Led deployment automation with Jenkins and Kubernetes, and integrated Dynatrace with Jira and PagerDuty for monitoring and incident response. Configured monitoring via Dynatrace, Nagios and CloudWatch; managed public cloud design with IAM, security groups, Shield an
DevOps Engineer at TCS
July 1, 2019 - February 1, 2021
Configured PowerShell scripts to automate Azure cloud provisioning including end-to-end infrastructure, VMs, storage, and firewall rules; deployed Puppet for configuration management; automated WordPress/MySQL container deployments in Docker with Python; used Ansible for configuration management; built and migrated apps using MSBuild in Azure Pipelines with Nexus and SonarQube; created patches and image deployments via PowerShell; integrated Prometheus and exposed endpoints to collect metrics in Azure Monitor for Containers; documented server architectures and troubleshooting steps; supported Jira for defect tracking; authored automation scripts in Bash, JSON, Groovy, Python and Maven; provided DevOps support across multiple development teams; monitored applications and servers with Nagios; managed Apache/Nginx web servers.

Education

Bachelor of Computer Science and Engineering at JNTUH
January 11, 2030 - March 1, 2019

Qualifications

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Industry Experience

Software & Internet, Telecommunications, Professional Services