Ajmal Shaikh

Currently working as a Google Cloud Architect at IBM, where I am responsible for designing and implementing cloud solutions using Google Cloud Platform.

• Have relevant experience in leading a team of engineers driving Automation, Deployment, and implementation of Google Cloud DevOps solutions
• Design and architect scalable and reliable cloud infrastructure to meet the needs of large organizations.
• Collaborate with cross-functional teams to gather requirements and develop cloud strategies
• Experience on a variety of configuration management tools and Infrastructure as a code (IAC) including Terraform, Helm Charts on Google Kubernetes Engine for automation and deployment on GCP
• CI/CD implementation of Pipelines from using Cloud native tools including Google Cloud Repositories, Container Registry, Cloud build and third party tools including Jenkins and Argo CD
• Implement and optimize cloud security measures to ensure data protection and compliance.
• Security setup and its integration with the GCP cloud with DevSecOps tools setup including Veracode, Aqua, NexusIQ, Truffle hog integration with the Cloud build pipelines.
• Google Kubernetes Engine (GKE) and Istio setup and resolution identification of the critical issues
• Been part of Defect Management and its resolution process
• Platform and Compliance check of the platform and mitigating the critical issues as per the Google Cloud Best Practices

• Architecting Solutions for On-Premises and Google Cloud Platform (GCP)
• Data migration activity from On-Premises and Azure cloud to Google Cloud Platform
• Designing End to end Cloud solutions on Google Cloud as per the business requirements and suggestions to improve the infrastructure
• Setting up IAM roles and ACL policies to safeguard the security of the environment
• Network setup including VPC setup, VPC Peering and Shared VPC environment as per the project requirements
• Co-ordination with the Enterprise and Applications team to provide prompt resolution to the issues faced
• Cloud storage setup and providing recommendations of storage as per the Client requirements
• Deployment of Google Kubernetes engine (GKE) and implementing its use in containerized environment
• Automation of the critical processes in the production and Development environment using Terraform and Deployment Manager
• Managed databases setup including Cloud SQL and Cloud Spanner setup and its connectivity setup with Google Compute engine (GCE)
• Setup of Google App Engine (GAE) and its integration with cloud database
• Security analysis and proactive recommendations for the improvement of the Big data platform (both Cloud and on-prem)
• Involvement in Data migration projects to move Big Data from on-premises to Cloud environment
• Preparation of documentation as per the process requirements, Standard operating Procedures and RCA’s presented as per the client requirements.

• Experienced in setting up Big data environment on AWS Cloud and On-Premises(VX Rack)
• Cloud solutions development as per the Client requirements
• Recommendations provided on the On-premises environment after careful study and investigation on Test and Dev environment
• Working with Enterprise and Applications team gaining understanding on the requirements and gaining consensus of the customer prior to implementation in the client environment
• Supported team in creation of POC for Big data implementation in the project
• Automation scripts implementation using Python for ease of the day to day operations
• Security setup in the infrastructure and suggestions of improvement
• Also, active participation in the Client Audit meets to fine grain any open-ended security issues
• Performing Patch upgrades of the Applications and OS as per the Enterprise recommendations post approval from the Client
• Management of the Big data Cloud platform and monitoring of the critical processes
• Security analysis of the On-Prem environment and proactive recommendations in line with the best practices of the industry.

• Experienced in deployment of big data environment with the cluster setup in the On-Premises virtual private cloud
• Gathered requirements of the customer and cascading the same to the Development teams
• Provided technical knowledge to the concerned teams
• Proactive discussion on the day to day issues faced and gaining consensus of the customer towards achievement of the set goals
• Management of the Big data platform and monitoring of the critical components
• Capacity and Cluster team management
• Development of the Cloud (Public and Private) environment and suggestion of critical tools and services in the environment
• Worked with Data ingestion team for ingesting critical and sensitive data as per the Data Governance standards.

• Supported Airline based technical project (United Airlines)