Kaif Khan

Experienced DevOps Engineer specializing in CI/CD automation and cloud infrastructure. Led the migration of 15+ products to GitLab-Jenkins CI/CD, automating Jenkins setups with Ansible and Terraform and cutting installation time by 95%. Reduced deployment efforts by 80% and saved $1M through infrastructure optimization. Proficient in AWS services and integrating security testing (SAST/DAST) into pipelines. Improved system observability with tools like Nagios and SolarWinds, and implemented healthcare security controls (HIPAA, HITECH).

Experience

DevOps Engineer

GE Healthcare
  • Orchestrated the migration of over 22 products, comprising 100 plus components, from Perforce, a legacy source code management system, to GitLab-Jenkins CI/CD, facilitating a seamless transition to modern version control and automation practices.

  • Automated Jenkins agent installation which included tools installation like Git, Perforce, PowerShell and SSL cert Installation followed up by editing group policies and other tasks using ansible reducing manual effort from 1 hour to 5 minutes.

  • Understanding of healthcare regulations such as HIPAA, HITECH and experience implementing security controls in a healthcare cloud and on-prem environment.

  • Extensively worked on Jenkins CI/CD pipeline jobs for end-to-end automation to build, test, scan and publish artifacts and troubleshoot the build issue during the Jenkins build process.

  • Automated deployment of 10+ products, resulting in an 80% reduction in manual efforts of deployment for critical services.

  • Configured and managed cloud-based services such as AWS EC2, S3, CloudFront, Route 53, AWS Lambda and API Gateway, depoyed ML Pipeline on AWS using services like Bedrock and SageMaker.

  • Integrated Static and Dynamic Application Security Testing (SAST and DAST) into CI/CD pipelines, enabling early and real-time vulnerability identification in both source code and running applications that decreased vulnerability exposure time by 40% and strengthened overall system resilience against threats

  • Configured and managed DevOps infrastructure through Terraform, saving $1 million through meticulous optimization of VMs and resource allocation.

  • Implemented monitoring solutions using tools like Nagios, SolarWinds, leading to improved system observability and proactive incident management.

    November 2021 - Present

Software Engineer Intern

Intelitec Solutions
  • Explored market DevOps tools and gained understanding of AWS Services, EC2, S3, ELB and other services.

  • Configured and managed 10+ Windows servers.

  • Gained knowledge about build/release and CI/CD systems in Jenkins.

Jan 2011 - Oct 2021

Android Application Developer – Intern

Sensen Networks
  • Worked on an innovative AI-powered smartphone app for Chicago City Council’s parking enforcement.

  • Gone through the Android fundamentals such as Activity Lifecycle, UI Design through XML, Intent, Services, Handlers, Camera2 API integration.

  • Troubleshooting running instance issues and Coordinating project tasks, activities and bug fixing as assigned.

July 2020 - December 2020

Education

SRM University

Bachelor of Technology
Computer Science Engineering

Grade: 82.05

2017 - 2021

City Montessori School

Higher Secondary Education

Grade: 90.75

2016 - 2017

Skills

Programming Languages & Tools
Workflow
  • Build Tools: Maven/Gradle, npm, NuGet, helm.
  • Container Orchestration: Docker, Kubernetes
  • Version Control: Git, Perforce
  • CI/CD: Jenkins, GitLab, Github Actions, AWS CodePipeline
  • Infrastructure as a Code: Ansible, AWS, Terraform
  • Development/Scripting: Groovy, Bash, PowerShell, Python, Java, Git, YAML
  • Artifact Management: JFrog artifactory
  • Static/Dynamic Analysis: SonarQube, Tenable.io (Nessus)
  • Software Composition Analysis (SCA) tool: Jfrog Xray

PROJECTS

AWS Dynamic Cloud Resume
  • Implemented a serverless personal resume website hosted on Amazon S3 and content delivery globally through CloudFront pointed to a custom DNS in Route53

  • Designed and implemented a robust backend using Amazon DynamoDB to store and manage visitor analytics securely

  • Leveraged AWS Lambda and API Gateway to increment the visitor count in DynamoDB

  • Implemented CI/CD pipelines with Github Actions, automating the deployment process and ensuring rapid updates with E2E Testing using Cypress

  • Achieved cost-effectiveness through AWS Budgets and Usage Reports, optimizing resources while delivering a scalable and responsive web experience

  • MongoDB Deployment on Kubernetes
  • Cluster: Deployed MongoDB on Kubernetes with Docker Desktop

  • Security: Managed credentials using Kubernetes Secrets

  • Pods: MongoDB pod for database; Mongo Express pod for web-based admin.

  • Flow: User → LoadBalancer → Mongo Express → MongoDB

  • Awards & Certifications