GOPI D
Bundoora,VIC
Summary
Critical thinking AWS DevOps engineer with expertise in developing, implementing, and managing dependable cloud infrastructures that accelerate operational effectiveness and expedite development processes. Inquisitive software developer with over 5+ years of experience working in the industry and received various appreciations for enhancing the methodologies and ensuring quality code deployments thereby retaining client satisfaction. With 2 years of International student experience, gained expertise in communicating well with diverse cultured people and demonstrated complex problem solving capabilities. Constant learner, self-motivator and believe in updating myself to be on par with the technology updates.
Overview
6
6
years of professional experience
Work History
DevOps Engineer
Syntel, Bosch Global Software
05.2019 - Current
- Was in charge of maintaining services architectural layer as DevOps Engineer, which is used by business-oriented, client-facing applications
- Managing, maintaining, and troubleshooting multiple environments in coordination with development, infrastructure, and operations
- Direct involvement in projects implementing cloud infrastructure, API administration, and release automation
- Responsibilities:
- Utilizing Lambda, AWS to design and maintain Infrastructure as Code for test servers on Next Generation platform
- Upon approval of tests, production implementation will begin
- Manage many platforms simultaneously for automation purposes, including Linux, Windows, and GCP
- Created and maintain CI/CD pipelines to support SDLC tasks in non-production and production environments
- Experience to maintain Microservices Amazon Web Services EC2, VPC, ELB
- Route 53, IAM, Cloud Front, SNS, and RDS
- Installed and set up Nexus repository manager to allow internal teams to share artifacts, and made proxy Nexus repositories to quicken build process
- Created and putting into practice completely automated server build management, monitoring, and deployment using tools like Splunk, shell scripts, GIT, Maven, GitLab and Jenkins.
- Worked on Cassandra, Kafka, Apache, and numerous in-house Java services running in AWS Instances on Kubernetes was maintained and developed using Docker images
- Knowledge in project management, change management, release management, and issue tracking in
- JIRA
- Created and implemented global Grafana, Prometheus, and Thanos metric and monitoring system to provide Kubernetes clusters with single pane of glass dash boarding and alerting environment
- Reduced time between server provisioning and deployment by creating Ansible scripts for automated server provisioning and Docker images
- Hands-on experience writing Terraform scripts to start AWS EC2 instances, make security groups, and establish VPC subnets
- Experience setting up Jenkins for Continuous Integration and Continuous Deployment (CI/CD) to automate every build and deployment from beginning to end
- Worked on Docker container snapshots, uninstalling images, and managing Docker volumes, Created
- Docker images using Docker file
- Used Azure Data Factory, data pipeline was automated
- Experience branching, tagging, and keeping version across environment using SCM tools like GIT and Bitbucket
- Experience in using PowerShell, Python, and Shell scripts for monitoring and automation
- Developed automated scripting in Python (core) to deploy and manage Java applications across Linux servers
- Environment: Agile, Elastic Beanstalk, CloudFormation, Ansible, Confluence, SonarQube, DynamoDB, Jira
- Linux, AWS lambda, Docker, Docker, EC2, Stack, Kubernetes, Maven, Shell scripts, Python, SCM GIT, API
- Gateway, Jenkins, Tomcat, RHEL, IAM, Nexus, Splunk, Elastic search, Artifactory.
DevOps Engineer
Tavant Technology, NVIDIA
12.2017 - 05.2019
- As DevOps Engineer with experience managing and integrating Jira who has worked in variety of roles and capabilities
- Tools for Atlassian & DevOps are installed, setup, and receiving full support
- Responsibilities:
- Integrated Kubernetes clusters with AWS services including S3, EC2, RDS, and Lambda to support server less functions, computing, and data storage
- Created managed container images and Docker images using Artifactory and Bitbucket to maintain application consistency and dependability
- Utilized Terraform state files to detect infrastructure drift and reconcile any differences between actual and desired state of infrastructure
- Upgrade EKS clusters, Gitlab and Artifactory applications
- Implemented Terraform auto-apply feature using Gitlab to automatically apply changes to infrastructure based on changes in code, reducing manual intervention and speeding up deployment
- Extensively used Jenkins for CI/CD and for End to End automation using pipeline scripts and freestyle tasks for every build and deployment
- Checking logs when build in Jenkins fails and monitoring daily builds
- Using Maven build tool, create WAR files
- Master-slave configuration was used to provide simultaneous builds by configuring Jenkins nodes to build jobs and sharing workload of Jenkins server
- Solid experience creating, updating, versioning, and provisioning AWS infrastructure using Terraform template files and modules
- Strong Ansible Playbook writing, application deployment, and cloud service provisioning experience
- Excellent knowledge of Docker containerization technology, including setting up customized
- Docker containers and producing Docker files for various environments
- Jenkins was used to carry out Continuous Delivery pipeline by integrating Git repository and automating Maven build instructions
- Artifacts were deployed to Docker containers hosting application
- Worked with Splunk was used to examine logs and keep eye on user dashboard in order to keep track of application and infrastructure health
- Used JIRA to track project's development, create tickets, and produce reports on various bug issues
- To change configuration from its current state to desired state, work was done on puppet manifest files and puppet master
- Automated Docker deployment of MySQL containers, with Nagios used to monitor them, Maintained programs in Python and Shell related to building
- Environment:CI/CD, Chef, Maven, Tomcat, Python, Nagios, Puppet, Terraform, GitLab, Git, Jenkins, JIRA
- Docker, Ansible, Kubernetes, MongoDB, MySQL, DynamoDB, Splunk.
Education
Master of Science - Information Technology
Charles Sturt University
Melbourne, VIC11.2021
Bachelor of Science - TELECOMMUNICATION ENGINEERING
SATHYABAMA UNIVERSITY
INDIA05.2017
Skills
- Amazon web services
- EC2, ELB, VPC, RDS, IAM, Cloud Formation, S3, Cloud Watch
- Cloud Trial, SNS, SQS, SWF, EBS, EMR, Dynamo DB, Red Shift
- Elastic Beanstalk, Route53, MongoDB
- Continuous Integration Tools Jenkins, Bamboo
- Containers Docker, Kubernetes, Docker Swarm
- Scripting languages Shell scripting, Python, Ruby, Perl, Bash
- Data bases MS SQL Server, MySQL, NoSQL, SQL Server, MongoDB
- SCM Tools Bit Bucket, GIT, GitHub
- Operating System Linux (Red hat) UNIX and Windows
- Monitoring Tools ELK, Prometheus, Grafana and Nagios
Timeline
DevOps Engineer
Syntel, Bosch Global Software
05.2019 - Current
DevOps Engineer
Tavant Technology, NVIDIA
12.2017 - 05.2019
Master of Science - Information Technology
Charles Sturt University
Bachelor of Science - TELECOMMUNICATION ENGINEERING
SATHYABAMA UNIVERSITY
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