Summary
Overview
Work History
Education
Skills
Timeline
Generic

Sk C

Sydney,NSW

Summary

DevOps Engineer with 4+years of experience in IT industry managing cloud infrastructure like Amazon Web Services (AWS), and Azure. Gained hands-on experience in implementing core DevOps concepts such as containerization, virtualization, version control, cloud computing, database management and load balancing.

Overview

7
7
years of professional experience

Work History

DevOps Engineer

Virtusa
12.2021 - Current
  • Company Overview: Client: Standard Chartered Bank
  • The 'Automating AWS S3 Website Deployment with GitHub Actions' project focuses on simplifying the process of deploying web content to an Amazon S3 bucket using the power of GitHub Actions
  • By setting up an automated deployment pipeline, this project aims to provide developers with a seamless and efficient way to publish their web content to the cloud, ensuring effortless and timely updates to their websites
  • Worked with Terraform major features, including Change Automation, Resource Graphs, and Infrastructure as Code
  • Utilized Kubernetes, worked on scheduling, deploying, and managing container replicas on a node cluster
  • Created Docker images, and handling multiple images in various of Docker hub
  • Created Docker image of the application and used AWS ECS container management service
  • Utilized Ansible Playbooks to automate a number of infrastructure tasks, including resource configuration, application server setup, stack monitoring, and integration with GitLab CI for Continuous Deployment
  • Added the ELK Stack (Elastic search, Log stash, and Kibana) to an existing appliance framework for real-time log aggregation, analysis, and querying
  • Experience in developing CI/CD pipelines by utilizing Jenkins for code collection, application compilation, test execution, and publishing build artifacts to Apache Tomcat and Nginx servers
  • Developing Dev, Test and production environments of different applications on AWS cloud by provisioning Kubernetes clusters on EC2 instances using Docker, Bash, and Chef
  • Used to Configure & maintained Jenkins Pipeline to implement CI & CD process for major releases and integrated the tool with Maven to schedule the builds
  • Created Azure DevOps release pipelines to deploy Kubernetes manifests, including deployment and ingress resources and utilized Azure DevOps YAML pipelines to deploy templates, enabling version control
  • Merged release branches to the master after the production release and resolved the conflicts if any during the merge in GIT
  • Worked on various Azure services (PAAS & IAAS) like Function Apps, Logic Apps, Key Vault, Compute (Web Roles, Worker Roles), Azure Websites, Azure Active Directory, API Management, Signal R, Redis Cache, AKS, SQL Azure, Storage, Network services, Management
  • Installed and set up Nexus repository manager for internal teams to share artifacts
  • To improve the build process, proxy Nexus repositories were made
  • Worked on migration of offline database infrastructure to cloud using several database technologies such as MySQL, NoSQL, AWS RDS, Dynamo DB and Redis
  • Involved in creating the Gradle build pipeline for Jenkins using Groovy DSL (Domain Specific Language) with ANT and Maven build scripts to enable continuous build
  • Set up secure VNets and subnets for the deployment of Azure IaaS virtual machines (VMs) and cloud services (PaaS role instances)
  • Worked on Installation of security feature to MySQL, Mongo DB and Cassandra database on Red Hat Linux Servers
  • Worked and maintained Power Shell scripts for Maven builds that were linked to building, POM.xml and other build configuration files were created and changed
  • Created Production, Development, Test, and Release Branches to let Legacy Puppet integrate with GIT and Bit Bucket to protect the integrity of applications
  • Created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions not met
  • Developed Python scripts to automate the Build and deployment process for deploying the web services and created Bash, shell, and Python scripts for various Systems Administration tasks to automate repeated processes
  • Implemented Change Management Process for tracking different clients and setup tracking using JIRA
  • Exceptional familiarity with Agile/Scrum methodologies
  • Client: Standard Chartered Bank
  • Environment: AWS, Azure, Terraform, Kubernetes, Jenkins, Docker, Ansible, MySQL, MongoDB, NoSQL, Cassandra, Linux, Unix, Windows, Git, BitBucket, Jira, Chef, Bash, Apache Tomcat, Nginx, ELK, CI/CD, Maven, Splunk, PowerShell

DevOps Engineer

Quest Global
06.2017 - 01.2019
  • Company Overview: Client: Fiserv
  • In this project, I assumed the responsibility of building a robust cloud infrastructure to host applications efficiently, while also implementing seamless CI/CD pipelines for automated building and deployment
  • This initiative resulted in accelerated application releases and improved reliability
  • On the banking front, I involved in deploying Kubernetes environment and provided the support for critical development and prod issues
  • Worked with Terraform key features, such as infrastructure as code, resource graphs, and change automation
  • Worked on upgrading Kubernetes worker nodes, investigating the problem, and resolving it if pods cannot be configured
  • Worked with Docker and Kubernetes on a variety of cloud platforms, assisting developers with the creation and containerization of their applications (CI/CD), then deploying those applications on either public or private clouds
  • Worked on a number of Docker components, including the Docker Registry, Hub, Machine, and Compose
  • Worked on developing the Docker consoles and containers for application life cycle management, we created Ansible playbooks to aid in the automation of our deployment procedure
  • Worked on integrating Jenkins, Subversion, and GIT into the continuous integration (CI) system
  • Created a GIT mirror for the SVN repository, allowing users to use both systems
  • Developed with cloud-based DevOps tools such as Ansible, Artifactory, Docker, GitHub, Jenkins, and Bit bucket pipelines, Kubernetes, Maven, and Sonar Qube
  • Installed and set up the Nagios monitoring software to keep an eye on the hard drive status and network traffic
  • Developed EC2, Cloud Watch, Elastic Search, and AWS security groups, as well as configuring and deploying instances on AWS environments and data centers
  • Routine chores were automated using the BIT BUCKET and Push tools, as well as Python and Shell scripts
  • Created Splunk infrastructure and associated products in accordance with automation toolkits
  • Used Docker file containers to run MongoDB and linking it to a fresh container that will act as the data access client container
  • Familiarity with deployment tools like Chef, Puppet, or Ansible, as well as experience with automated configuration management
  • Wrote Bash, shell and Python scripts for various Systems Administration tasks to automate repeated processes
  • To ensure that the process is followed, JIRA and Subversion were integrated
  • JIRA CLI was used to automate JIRA processes
  • Good Understanding with the standards and great practices in Software Configuration Management (SCM) in Agile-SCRUM and Waterfall methodologies
  • Configured every aspect of Linux disk management and patch management
  • Client: Fiserv
  • Environment: AWS, DevOps, Kubernetes, Terraform, Ansible, Docker, Linux, Jenkins, Splunk, CI/CD, Maven, Jira, MongoDB, Chef, Puppet, Bitbucket, Subversion, Splunk, Nagios, SonarQube, Python, Shell scripting, EC2, Cloud watch, Elastic Search

Education

Master of Science - It

Vit
Syd
12.2021

Bachelor of Science - Eee

Jntuk
Ind
05.2017

Skills

  • AWS
  • Azure
  • EC2
  • S3
  • Glacier
  • ELB
  • RDS
  • Redshift
  • IAM
  • Route 53
  • VPC Auto scaling
  • Cloud Front
  • Cloud Watch
  • Cloud Trail
  • Cloud Formation
  • Jenkins
  • Git
  • Github
  • Grafana
  • Prometheus
  • Nagios
  • Kubernetes
  • Docker
  • Terraform
  • Nginx
  • Apache
  • BitBucket
  • Azure IaaS
  • Virtual Networks
  • Virtual Machines
  • Cloud Services
  • Resource Groups
  • Express Route
  • VPN
  • Load Balancing
  • Application Gateways
  • Auto-Scaling
  • Traffic Manager
  • Python
  • Shell Scripting
  • Sonar Qube
  • Perl
  • Bash
  • Ruby
  • UNIX
  • Linux
  • Windows
  • JIRA
  • Confluence
  • Agile
  • Scrum
  • Waterfall

Timeline

DevOps Engineer

Virtusa
12.2021 - Current

DevOps Engineer

Quest Global
06.2017 - 01.2019

Master of Science - It

Vit

Bachelor of Science - Eee

Jntuk

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