Madhuri S.

DevOps Engineer

Scarborough, Ontario, Canada0 mo experience

Key Highlights

Expert in AWS and Infrastructure as Code.
Proven track record in CI/CD pipeline automation.
Strong background in cloud security best practices.

Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in AWS and DevOps practices.

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Skills

Core Skills

AwsInfrastructure As CodeTerraformLinux AdministrationConfiguration Management

Other Skills

AWS Cloud AdministrationAWS Launch configurationsAWS solutions implementationAgile/ScrumAuto ScalingBuild Automation toolsCI/CD pipeline automationCloud Formation templatesContinuous Delivery frameworkDatabase administrationElastic Load BalancingInfrastructure as Code (IaC)Jenkins administrationKubernetesLinux server hardening

About

Site Reliability Engineer with hands-on experience in designing and maintaining scalable, reliable, and observable cloud infrastructure. Specialized in Infrastructure as Code (IaC), CI/CD pipeline automation, monitoring systems, and implementing core SRE practices in cloud-native environments. Proficient in AWS, Terraform, Kubernetes, and a range of DevOps and observability tools. Adept at reducing deployment risks, optimizing system performance, and ensuring operational excellence.

Experience

Veeva systems

AWS Cloud Engineer

Mar 2022 – Present · 4 yrs · Canada · Remote

Over 9+ years of experience in the IT industry, with 4+ years of experience as a System Engineer and, Around 5 years of experience as a Devops Engineer/Site Reliability Engineer.
Expertise in AWS Cloud Administration, including EC2, S3, EBS, VPC, ELB, Route 53, Auto Scaling, Security Groups, Redshift, CloudFormation, and IAM.
Strong experience in Infrastructure as Code (IaC) using Terraform, CloudFormation, and Packer for automated provisioning and configuration management.
Hands-on experience with Kubernetes (EKS, AKS) and Docker for container orchestration, deployment, and management.
Skilled in CI/CD pipeline automation using Jenkins, GitLab CI/CD, Bamboo, and AWS CodePipeline to streamline software delivery.
Experienced in configuration management using Ansible, Chef, and Puppet, as well as monitoring and log management tools like Splunk, Nagios, Prometheus, and Grafana.
Expertise in scripting and automation using Python, Bash, and PowerShell to optimize DevOps workflows and cloud operations.
Strong background in application deployment and server management with WebSphere, WebLogic, Tomcat, Apache, and Nginx for high availability and load balancing.
Skilled in database administration with PostgreSQL, MySQL, MongoDB, and SQL Server, including backup, recovery, and performance tuning.
Adept at implementing security best practices in cloud environments, including IAM policies, encryption, AWS Secrets Manager, and HashiCorp Vault.
Extensive experience working in Agile/Scrum environments, collaborating with cross-functional teams to improve software development and delivery processes.
Strong analytical, troubleshooting, and problem-solving skills, with the ability to provide 24x7 support in critical production environments.

AWS Cloud AdministrationInfrastructure as Code (IaC)KubernetesCI/CD pipeline automationConfiguration managementMonitoring tools+6

State street

AWS Cloud Engineer

Jan 2019 – Sep 2022 · 3 yrs 8 mos · Chennai, Tamil Nadu, India · Remote

Created AWS Launch configurations based on customized AMI and use this launch configuration to configure auto scaling groups and Implemented AWS solutions using EC2, S3, RDS, Dynamo DB, Route53, EBS, Elastic Load Balancer, Auto scaling groups.
Created AWS Route53 to route traffic between different regions. Involved in reviewing and assessing current infrastructure to be migrated to the AWS cloud platform.
Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates.
Manage AWS EC2 instances utilizing Auto Scaling, Elastic Load Balancing and Glacier for our SIT, UAT, Prod and DR environments as well as infrastructure servers for GIT and Puppet.
Used Jenkins pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
Involved in using Terraform migrate legacy and monolithic systems to Amazon Web Services.
Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management using chef.
Implemented a Continuous Delivery framework using Jira, SVN, Bamboo, maven & Nexus, Puppet in Linux environment.
Used Build Automation tools like Maven, Artifactory and Jenkins.
Worked on for Jenkins continuous integration and for End-to-End automation for all build.

AWS Launch configurationsAWS solutions implementationCloud Formation templatesAuto ScalingElastic Load BalancingTerraform+3

Globallogic

System Engineer

Jun 2014 – Dec 2018 · 4 yrs 6 mos · Chennai, Tamil Nadu, India · Remote

Involved in troubleshooting of Red Hat Linux server issues and hardware issues and replacements.
Installed/Configured/Managed Puppet Master/Agent.
Secured Linux servers by hardening the OS using IPtables, SELinux and rkhunter.
Created customized Kickstart profiles for each server and making ISO to build the server.
Wrote custom Modules and Manifests, downloaded pre-written modules from puppet-forge
Developed OpenStack infrastructure with automation and configuration management tools such as Puppet, or custom-built cloud hosted applications.
Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain.
Automated Weekly releases with ANT/Maven scripting for Compiling Java Code, Debugging and Placing Builds into Maven Repository.
Designed and implemented fully automated server builds management, monitoring and deployment By Using Puppet.
Worked on User account management, and used shell scripting (ksh, bash) to automate administration tasks.
Worked on JBoss, Apache, Mail Server, and Firewall in both development and Production. Worked on various scripting language like Bash, Shell, Python.
Worked on Jenkins, Team City and Bamboo for continuous integration and for End-to-End automation for all build and deployments.
Worked with the team to manage the processing of incoming support requests ensuring effective and timely resolution of issues. Coordinate with other departments to ensure problems are satisfactorily resolved.