Summary
Overview
Work History
Education
Skills
Timeline
Generic

Vinay Kumar

Seattle,WA

Summary

With over 5 years of hands-on experience as a DevOps engineer, implementing and managing CI/CD pipelines. Expertise lies in automating infrastructure and optimizing system performance to ensure enhanced software delivery and reliability. Demonstrated a solid understanding of AWS cloud services, with hands-on experience in designing, implementing, and maintaining cloud infrastructures. Excelled in automating workflows and orchestrating processes using AWS Cloud Formation, AWS CLI, and Infrastructure as Code tools. Contributed to the creation of scalable and efficient deployment pipelines. Analyzed security measures and ensured compliance within AWS environments. Proficient in configuring and managing security groups, IAM policies, and encryption services to enhance data protection and meet industry standards.

Developed essential research and analytical skills in academic research environment, now seeking to transition into new field. Demonstrated ability to manage projects, analyze complex data, and collaborate effectively with team members. Looking to leverage these skills in dynamic, interdisciplinary setting. Bilingual DevOps Engineer with background designing, testing, and implementing infrastructure and applications. Talented performer with over 5 years of experience using source control tools to identify and fix bugs in code. Consistent team player with exemplary multitasking skills. Critical thinking DevOps Engineer with extensive understanding of high availability architecture and concepts. Purpose-driven professional with capacity to be strong team player plus work effectively independently.

Overview

6
6
years of professional experience

Work History

DevOps Engineer/SRE

TaylorFarms
03.2024 - Current
  • Responsible for continuous integration (CI) and continuous delivery (CD) process implementation using Jenkins along with Shell scripts to automate routine jobs
  • Involved in designing and deploying applications utilizing almost all AWS stack like EC2, Route53, S3, ELB, EBS, VPC, RDS, DynamoDB, SNS, SQS, IAM and focusing on high availability, fault tolerance, and auto-scaling in AWS Cloud Formation
  • Automated the provisioning and management of Was resources using Terraform, including networking components like VPCs, subnets, and firewalls
  • Automated manual tasks through scripting languages such as Python or Shell, boosting team productivity levels.
  • Setting up and building AWS infrastructure resources such as VPC, EC2, S3, IAM, EBS, Elastic Search, Security Group, Auto Scaling, Lambda, and RDS in Cloud Formation and involved in deploying the content to Cloud platform on AWS using EC2, S3
  • Participated actively in weekly lab meetings to discuss progress updates, troubleshoot challenges, and share new ideas with colleagues.
  • Actively managed, improved, and monitored cloud infrastructure on AWS, EC2, S3, and RDS, including backups, patches, and scaling
  • Built and deployed Docker containers to break up monolithic apps into microservices, improving developer workflow, increasing scalability, and optimizing speed
  • Experience with different bug tracking tools like Jira, Remedy
  • Experience with documenting tool Confluence, used to document the work process and issues that arise with Jira and working with Agile methodologies and all phases of Software development life cycle (SDLC)
  • Configured and used monitoring tools like Nagios/Splunk for monitoring the network bandwidth and the hard drives status
  • Used Kubernetes for automating deployment, scaling, and operations of application containers across clusters of hosts providing container centric infrastructure
  • Created Kubernetes cluster with objects like Pods to deploy applications quickly and predictably
  • Used Kubernetes dashboard for container Management and pod creation etc
  • Monitored AWS resources such as EC2 instances, CPU usage, memory, Amazon RDS DB services, DynamoDB tables, and EBS volumes to ensure optimal performance and availability
  • Established strong professional relationships with experts in the field through networking opportunities at conferences and other academic events.
  • Improved code deployment efficiency by automating processes with CI/CD pipelines.
  • Provided 24/7 on-call support for critical systems, ensuring high availability and rapid issue resolution.

Devops Engineer/sre

Wawensa
01.2023 - 02.2024
  • Designed and implemented roles and groups for users and resources using AWS Identity Access Management (IAM) to ensure secure access control
  • Configured Virtual Private Cloud (VPC) with both public and private NAT instances, and Elastic Load Balancers to ensure optimal latency and secure communication within the VPC
  • Used GitHub as a version control tool for efficient program check-out and check-in, ensuring version consistency and collaborative development
  • Developed shell scripts for automated installations, log extraction, log compression, rotation, and Batch Jobs management
  • Created Python scripts using Boto3 to automatically provision instances in AWS EC2 and Ops Works stacks, integrated with Auto Scaling to automatically manage server resources with configured AMIs
  • Developed and maintained CI/CD pipelines using Python-based tools, ensuring efficient and reliable software delivery
  • Created Python scripts for automating routine tasks, enhancing operational efficiency, and reducing manual intervention
  • Identified and implemented process improvements in the CI/CD pipelines, resulting in a 30% reduction in deployment times
  • Developed Ansible Playbooks using YAML scripting to automate the installation, configuration, and upgrading of applications on Apache Tomcat servers
  • Automated Nginx configuration management using Ansible, ensuring consistent and repeatable deployments across environments
  • Administered and maintained SQL databases on AWS, ensuring high availability, performance, and security
  • Automated routine database maintenance tasks, including backups, indexing, and performance tuning using SQL scripts and scheduled jobs
  • Developed and optimized complex SQL queries and stored procedures to improve application performance
  • Utilized Docker and Kubernetes to manage microservices for the development of continuous integration and continuous delivery processes
  • Automated the deployment of Docker containers and managed Kubernetes clusters to ensure application scalability and reliability
  • Integrated automated monitoring and alerting systems using Cloud Watch to streamline incident management processes, reducing mean time to resolution (MTTR) by 25%
  • Engineered and managed servers on Ubuntu and RHEL Linux, ensuring optimal performance and reliability.
  • Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
  • Enhanced system reliability with proactive monitoring and troubleshooting of network issues.

DevOps Engineer/Cloud Engineer

Verizon Wireless System
09.2018 - 06.2021
  • Automated the AKS infra deployment using Terraform and Azure DevOps Pipeline
  • Implemented micro services, application development, and migration using AWS/Azure services such as Azure DevOps, Kubernetes Service (AKS), Container Registry, Cosmos DB, and Grafana, Azure pipelines, Monitor, RBAC, AWS Kubernetes EKS and Kubernetes API to run workloads on EKS Clusters
  • Performed Configuration of Azure web apps, Azure Application services, Azure Auto scaling, Azure AD, Azure Network Watcher, Azure search, Azure Fabric, Azure Hybrid Identity, Azure Governance, Azure web jobs, Azure Stream Analytics, Azure Time Series Insights, Azure DNS, Azure VPN Gateway, Notification hub
  • Using Jenkins as CI/CD pipeline along with the Developers team
  • Automated monitoring and logging tasks using Python, including log parsing and data analysis, for effective system monitoring
  • Written Chef Cookbooks and recipes in Ruby to pre-production environments consisting of MongoDB installations, WebLogic domain creations
  • Enhanced the automation to assist, repeat and consist of configuration management using Chef based Ruby scripts and on deployment automation of all the Micro services to pull the image from the private Docker Registry
  • Setup a Jenkins server and built jobs to provide continuous automated builds based on polling the Git source control system during the day and periodic scheduled builds overnight to support development and deployment needs using Jenkins
  • Proficient in using Python for container orchestration, particularly with Kubernetes, to automate deployment, scaling, and management of containerized applications
  • Maintained/Administrated Git source code tool branches, labels and performed merges in Git, implemented and maintained the branching/build/release strategies utilizing Subversion in Linux
  • Automated Cassandra DB Builds/Installation and migrated databases from the on-premise data centre to Cassandra
  • Implemented Shell, Perl scripts for release and build automation and Bash scripts to do data verification between Hive and Teradata databases as part of database migration.

Education

Masters - computer and information science, Commerce

Texas A&M University

Bachelors - computer science

Vignan institute of technology & science

AWS Certified Solution Architect – Associate Validation Number #RPKLF6EC7ERE1J -

Azure Fundamentals Validation Number #I706-3719 -

Skills

  • Implemented multiple CI/CD pipelines as a part of DevOps role for on-premises and cloud-based software using Jenkins, Ansible, AWS, Azure Devops, Docker and Kubernetes
  • Skills
  • Cloud Technologies Microsoft Azure, Amazon Web Services (AWS), Google Cloud
  • Containerization Tools Docker, Docker Swarm, Kubernetes, AWS ECS, ACR, OpenShift, AKS, EKS
  • CI/CD Tools Jenkins, Bamboo, GitLab CI, Travis CI, GitHub Actions, Azure DevOps
  • Build & Testing Tools Maven, Ant, Gradle, Selenium, J unit
  • Monitoring &Logging Tools ELK, Nagios, Cloud Watch, Azure Monitor, New Relic, Splunk, Grafana, Prometheus, Datadog
  • Web Servers Apache Tomcat, Nginx, WebSphere, WebLogic, JBoss
  • Databases Dynamo DB, MySQL, RDBMS, NoSQL, Cassandra, PostgreSQL, Mongo DB, Oracle DB
  • Infrastructure as Code Terraform, AWS Cloud Formation, ARM Templates
  • Configuration Management Ansible, Chef, Puppet
  • Scripting Languages Python, Go, Bash, Power shell
  • Soft Skills Teamwork, Problem Solving, Flexibility, Communication, Analytical Thinking
  • Method validation

Timeline

DevOps Engineer/SRE

TaylorFarms
03.2024 - Current

Devops Engineer/sre

Wawensa
01.2023 - 02.2024

DevOps Engineer/Cloud Engineer

Verizon Wireless System
09.2018 - 06.2021

Bachelors - computer science

Vignan institute of technology & science

Azure Fundamentals Validation Number #I706-3719 -

Masters - computer and information science, Commerce

Texas A&M University

AWS Certified Solution Architect – Associate Validation Number #RPKLF6EC7ERE1J -

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Vinay Kumar