Summary
Overview
Work History
Education
Skills
Timeline
Generic

SAI SHASHANK

Mississauga,ON

Summary

  • Over 5 years of IT experience, including as an AWS Cloud Engineer, Cloud Administrator, and IT Support Analyst, managing large-scale AWS environments, and optimizing cloud solutions.
  • Expertise in AWS DevOps, defining branching and release strategies, and creating CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy for infrastructure and configuration management on Windows and Linux.
  • Proficient in containerization and orchestration, leveraging Docker and Amazon EKS to enhance deployment, scalability, and disaster recovery of applications.
  • Strong identity and access management (IAM) skills, with hands-on experience in AWS IAM, AWS Directory Service, and AWS SSO for secure cloud access control.
  • Skilled in performance monitoring and diagnostics, using AWS CloudWatch, Datadog, and databases like Amazon RDS (SQL and MySQL) for proactive issue resolution.
  • Extensive experience in cloud migrations, transitioning on-premise infrastructure to AWS using AWS Migration Hub and AWS Server Migration Service for minimal downtime and cost optimization.
  • Infrastructure as Code (IaC) expertise, leveraging AWS CloudFormation and Terraform for consistent, automated infrastructure deployment across development, testing, and production environments.
  • Strong networking and security knowledge, managing AWS Virtual Private Cloud (VPC), Elastic Load Balancers (ELB), and AWS Site-to-Site VPNs for robust cloud security.
  • Automation enthusiast, utilizing AWS Lambda, Python, Bash, and PowerShell scripting for server management and workflow automation.
  • Disaster recovery and data replication strategies, implementing AWS Backup and AWS DataSync to ensure high availability and data integrity.
  • Skilled in AWS storage solutions, optimizing data management with S3, EBS, and Glacier for cost-effective and scalable storage solutions.
  • Agile and DevOps methodologies expert, experienced in Scrum, Kanban, and Lean approaches, improving team productivity through training and mentoring.
  • Proficient in CI/CD tools, working with Jenkins, GitHub Actions, GitLab CI, and CircleCI to automate build, test, and deployment processes.
  • Hands-on experience with Kubernetes, implementing production-grade deployments on AWS EKS and Azure Kubernetes Service (AKS), managing Helm charts and pod scheduling.
  • Configuration management expertise, using Ansible, Chef, and Puppet to automate infrastructure provisioning and application deployments.
  • Version control and source code management, proficient in Git, GitHub, Bitbucket, and SVN for branching, merging, and repository maintenance.
  • Log analysis and monitoring, using Splunk, ELK Stack, Nagios, Prometheus, AppDynamics, and Dynatrace, for real-time system performance monitoring and troubleshooting.
  • Cloud and virtualization technologies, hands-on experience with VMware, VirtualBox, and cloud-native database solutions such as Amazon RDS, DynamoDB, and Azure Cosmos DB.
  • Strong scripting and automation skills, using Python, Groovy, Bash, PowerShell, and AWS CLI, to streamline DevOps workflows and cloud operations.
  • Proficient in web and application development tools, including Java, JavaScript, Node.js, HTML, CSS, and JSON, for automation and integration tasks.
  • Experience with issue tracking and ITSM tools, including Jira, ServiceNow, Azure Boards, and Remedy, for incident management and change control.

Overview

8
8
years of professional experience

Work History

AWS Dev Operations Engineer

Economical Insurance
Toronto, Canada
08.2023 - Current
  • Designed, deployed, and managed highly available, scalable, and secure cloud environments using AWS services like EC2, S3, and RDS.
  • Implemented and maintained container orchestration systems using Docker and Amazon Elastic Kubernetes Service (EKS).
  • Managed identity and access control through AWS Identity and Access Management (IAM).
  • Monitored the health and performance of cloud services and infrastructure using Amazon CloudWatch.
  • Developed and executed cloud migration strategies to AWS for enterprise systems, improving efficiency and scalability.
  • Managed and optimized Amazon RDS databases, enhancing performance, security, and disaster recovery strategies.
  • Conducted cost analysis and implemented cost optimization strategies using AWS Cost Explorer and Trusted Advisor.
  • Configured and utilized AWS CloudTrail and CloudWatch Logs for real-time monitoring and logging.
  • Developed and maintained continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline and Jenkins.
  • Implemented Infrastructure as Code (IaC) using AWS CloudFormation and Terraform to manage infrastructure.
  • Secured network architectures using AWS VPC, Security Groups, AWS WAF, and VPN gateways.
  • Designed and implemented disaster recovery plans using AWS Backup, S3 Cross-Region Replication, and Route 53.
  • Developed and maintained scalable architecture using AWS services for both production and staging environments.
  • Managed AWS infrastructure with Terraform for EC2, VPC, Subnets, S3, RDS, ELB, and Auto Scaling.
  • Automated infrastructure management and monitoring with Boto3, Lambda functions, CloudWatch, and CloudTrail alerts.
  • Managed Docker containers and deployed applications using AWS Elastic Container Registry (ECR) and EKS.
  • Set up and administered Kubernetes clusters for container orchestration with AWS EKS.
  • Automated server management using Ansible for application deployment, configuration, and orchestration.
  • Managed deployment strategies in AWS using Jenkins pipelines for Blue/Green and Canary deployments.
  • Integrated Gradle with Jenkins and AWS for build automation and deployment.
  • Implemented Prometheus and Grafana for monitoring AWS services and infrastructure health.
  • Utilized Datadog for monitoring AWS infrastructure, ensuring proactive issue detection and resolution.
  • Configured and implemented the ELK stack with AWS services for centralized logging and system monitoring.
  • Managed AWS databases (RDS, DynamoDB, Aurora), and cloud-native data services for high availability.
  • Worked on AWS EC2, S3, VPC, Lambda, IAM, EKS, CloudFormation, and other core AWS services to support DevOps practices.
  • Automated scaling, monitoring, and alerting for cloud infrastructure to ensure minimal downtime, and cost optimization.

DevOps Engineer

Investors Group
Toronto, Canada
02.2021 - 10.2023
  • Developed and maintained CI/CD pipelines to automate and streamline code deployment using Jenkins, GitLab CI, AWS CodePipeline, and Azure DevOps
  • Implemented automated configuration management and infrastructure provisioning using Terraform, Ansible, AWS CloudFormation, and Azure Resource Manager (ARM) templates
  • Monitored and optimized system performance, availability, and security using tools like Prometheus, Grafana, Datadog, and Azure Monitor
  • Led the design, development, and implementation of containerized applications with Docker and Kubernetes for efficient deployment in AWS EKS and Azure Kubernetes Service (AKS)
  • Automated infrastructure management and provisioning using Infrastructure as Code (IaC) best practices with Terraform and CloudFormation in AWS and Azure environments
  • Utilized version control systems such as Git for branching, merging, and managing codebase versions, improving collaboration across teams
  • Orchestrated containerized applications using Kubernetes on AWS EKS and Azure AKS for automated scaling, deployments, and management of microservices
  • Implemented security best practices for DevOps pipelines, including role-based access control (RBAC), security scanning, and vulnerability management in both AWS and Azure environments
  • Set up and maintained automated testing and continuous integration environments to support rapid development cycles and quality assurance
  • Worked closely with development teams to ensure code quality, perform code reviews, and enhance delivery speed using Agile methodologies
  • Integrated cloud-native monitoring solutions (AWS CloudWatch, Azure Monitor, Datadog, Prometheus) for real-time visibility into infrastructure and application health
  • Implemented Blue/Green and Canary deployment strategies in Jenkins, Kubernetes, AWS, and Azure to minimize downtime and ensure application reliability
  • Managed build automation and artifact management using Jenkins, Nexus, Azure Artifacts, and JFrog Artifactory to ensure smooth integration of build and deployment processes
  • Supported troubleshooting, debugging, and resolving issues related to application performance, scaling, and infrastructure failures across AWS and Azure
  • Built and maintained deployment pipelines to automate software delivery for multi-cloud environments (AWS and Azure)
  • Worked with monitoring, logging, and alerting tools like ELK stack, Splunk, AWS CloudWatch, Azure Log Analytics, and Azure Application Insights to ensure high visibility of system performance
  • Developed scripts for automating repetitive tasks in Python, Bash, PowerShell, and Azure CLI to enhance operational efficiency
  • Conducted performance tuning and optimization of cloud infrastructure resources in AWS and Azure to improve system efficiency and reduce costs
  • Collaborated with cross-functional teams (developers, QA, security) to integrate DevOps practices into the software development lifecycle for both AWS and Azure environments

Linux Administrator

HSBC Bank
Hyderabad, India
03.2017 - 08.2018
  • Managed WebLogic and Apache Web Servers for high availability and performance optimization
  • Automated tasks using Shell, Bash, Python, and Perl for efficient server management
  • Configured WebLogic for load balancing, failover, and high availability in production environments
  • Expertise in troubleshooting memory leaks, tuning JVM heap sizes, and optimizing Garbage Collection (GC) for WebLogic servers
  • Set up and maintained WebLogic clusters, managed servers, and node managers for large-scale application deployment
  • Developed and deployed WAR, JAR, EAR, and J2EE applications in QA, staging, and production environments
  • Managed SSL configurations and renewal for secure communications across Linux servers
  • Automated configuration management and build deployment using Ansible, Chef, and Puppet
  • Provided 24/7 on-call support for production environments, ensuring uptime and system performance
  • Installed and configured essential services like DNS, Apache, Samba, and SSH
  • Proficient in using YUM and RPM for patch management and creating custom YUM repositories for Linux servers

Education

Post Graduate Diploma - Global Business Management

Conestoga College Institute of Technology And Advanced Learning
Kitchener, None
04-2020

Post Graduate Diploma - Project Management

Sault College of Applied Arts And Technology
Sault Ste. Marie, None
04-2019

Bachelor’s - Engineering

Kakatiya University
India
05-2016

Skills

  • EC2
  • S3
  • VPC
  • VPN
  • ECR
  • EBS
  • ECS
  • CloudFront
  • Amazon RDS
  • Lambda
  • EKS
  • AWS System Manager
  • CloudFormation
  • CloudTrail
  • CloudWatch
  • Auto Scaling Groups
  • Infrastructure as Code (IaC)
  • Security Groups
  • AWS IAM
  • DynamoDB
  • MongoDB
  • SQL
  • MySQL
  • PostgreSQL
  • AWS Route 53
  • Application Load Balancer (ALB)
  • Network Load Balancer (NLB)
  • Terraform
  • Docker
  • Kubernetes
  • Jenkins
  • Ansible
  • Git
  • Maven
  • SonarQube
  • Tomcat
  • Windows
  • Linux
  • Ubuntu
  • GitHub
  • Python
  • Nodejs
  • Bash
  • Agile
  • Jira
  • ServiceNow

Timeline

AWS Dev Operations Engineer

Economical Insurance
08.2023 - Current

DevOps Engineer

Investors Group
02.2021 - 10.2023

Linux Administrator

HSBC Bank
03.2017 - 08.2018

Post Graduate Diploma - Global Business Management

Conestoga College Institute of Technology And Advanced Learning

Post Graduate Diploma - Project Management

Sault College of Applied Arts And Technology

Bachelor’s - Engineering

Kakatiya University

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SAI SHASHANK