Shahebaz Sayed

• Skills Used: AWS, Kubernetes, Docker, Helm, CICD, Terraform, Chef, Python, Cassandra,Yaml,Grafana,Redis,Dynatrace.
• Led design and transformation of multiple CI/CD pipelines as Senior Software Engineer on Enablement Team, driving efficiency and scalability in cloud environments
• Coordinating with Developers to design and deploy Dot Net based microservices application on Lambda, Kubernetes platforms, and AWS Autoscaling groups
• Automate infrastructure provisioning using IAC like Cloud Formation and Terraform
• Working on Chef cookbooks and recipes to configure Cassandra and Kong clusters
• Implemented Kubernetes cluster monitoring and logging solutions using Prometheus and Grafana to enhance system visibility and performance management.
• Design and develop authentication, authorization, audit, data at rest encryption and other security features for PCI Project
• Optimized cloud infrastructure, resulting in significant cost savings for customers through efficient resource management and scaling strategies
• Design Risk Management Frameworks and coordinate cohesive responses to threats that involve multiple teams across organization.

• Skills Used: Azure, Kubernetes, Docker, Docker Compose, CICD, Terraform, Python, Yaml, Grafana.
• Deployed and managed AKS clusters and designed deployment pipelines for containerized applications at State Street Bank, including DNSUtil validation and Docker Content Trust via Notary Server
• Collaborated with Morgan Stanley to automate infrastructure deployment using Azure DevOps and Terraform, modularizing code and enhancing resource management across multiple subscriptions.
• Restructuring existing terraform code and folders into modules to follow best practices
• Streamlined operational processes by addressing AdHoc requests and gained extensive knowledge of Azure services including AKS, VMs, VNets, RBAC, AppService, and Storage

• Skills Used: AWS, Azure, GCP, CICD, Terraform, SPARK, Python.
• Delivered cloud solutions and deployed CI/CD pipelines using DevOps tools like Git, Jenkins, and Ansible for AWS and GCP foundation projects
• Specialized in GCP services, including GKE and Cloud Build, to automate data pipelines for ephemeral Kubernetes clusters running Spark jobs.
• Gained extensive experience with GCP Compute, Storage, Database, and Data Analytics products. Managed banking project involving creation and maintenance of 64 Kubernetes clusters with 20 applications deployed using Azure services like AKS and ACR.

Skills Used: AWS, CICD, Terraform, Security, Monitoring, CICD, BOTO3, ADFS

• Worked for AWS DevOps team as cloud consultant and under Virago Project
• Major responsibility is to design HLD, LLD and POC for clients
• Implement and Deploy infrastructure for client in AWS Environment
• Have vast experience in Automation for AWS environments using Lambda functions with Python script and IAC using terraform
• Using AWS Security Services like, WAF, Shield, Inspector, GuardDuty, Cloud Trails
• Having knowledge on setting up clusters for monitoring environment using monitoring tools like Splunk, SM9, PacBot
• Have experience in working for agile methodology and setting up CICD pipeline for continuous deployment using AWS DevOps tools
• Have knowledge on integrating ADFS with AWS as SSO for Deutsche Telekom project
• Leading T-systems Global AWS team for AWS Security Competency Program.

• Skills Used: AWS, Security, Monitoring,
• Expert in Cloud Technologies like Amazon Web Services (AWS) VPC, EC2, S3, IAM, RDS, Route 53, Cloudwatch, SNS, CloudFront and ELB
• Utilized Cloudwatch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, EBS volumes to set alarms for notification or automated actions and to monitor logs
• Configured and managed S3 storage as Version control and Designing Data Lifecycle model on AWS
• Working as exclusively on making applications more scalable and highly available system in AWS (using Elastic load balancing Autoscaling groups)
• Setup and manage backup and recovery using snapshot
• Configured and managed ELBs and Auto Scaling
• Automation using cloud watch triggers, Lambda and python boto3.