Mohamad Syed

• Project 1: Sidecar Patten Application
  ● Developed the sidecar application exposing APIs that perform functionalities like session management, cache management, rate limiting with Redis and Node.js runtime and hosting the APIs in AWS Lambda Functions.
  ● Took charge of implementing new security measures and accommodating API changes, collaborating closely with downstream API developers in UAT and Production environments.
  ● Managed critical AWS services, including API Gateway, CloudFront, DynamoDB, ElastiCache and Lambda functions, ensuring seamless operation.
  ● Orchestrated infrastructure management using the SAM template and automation of build and deploy functionality using Code build.
  Project 2: Fee Update Project
  ● Played a pivotal role in automating fee update into MS SQL databases through APIs using Nodejs, minimizing human intervention and manual tasks.
  ● Developed comprehensive backend solutions leveraging AWS serverless technologies like Step functions, Lambda functions, Private API Gateway, DynamoDB, Secret Manager, Parameter Store, SQS, etc.
  Project 3: Courier Aggregator Engine
  ● Led the integration of APIs for major courier vendors, such as Fedex, UPS, DHL, Bluedart, Aramex, and Autopilot, transforming CAGE into a central application for address validation, Shipment Creation, and package tracking APIs.
  ● Assumed responsibility for end-to-end application management, using private API Gateway, Lambda Functions, DocumentDB in UAT and Production environments.
  Project 4: OCR (Optical Character Recognition)
  ● Solution on extracting information from the image/pdf using Python program, utilizing the AWS Textract and pytesseract
  ● Gained knowledge on AWS SageMaker, Bedrock, Bedrock Agent.
  Other Projects:
  ● Notification Service using Nodejs application with SQS and EKS Faregate Profile.
  ● Contributed to configuring EKS with Fargate profiles for both .NET Core and Node.js applications, ensuring optimal deployment efficiency.
  ● Collaborated closely with developers, created Dockerfiles, and employed AWS CodeBuild for seamless application deployment in EKS with Fargate Profile.
  ● Configured EKS with ALB or NLB endpoints for enhanced performance and accessibility.
  Key Tools Utilized:
  ● Node.js, Python, Git, AWS CodeBuild, Lambda Function, API Gateway, SAM, CloudFront, EKS, ALB, NLB, etc.
  These experiences showcase my proficiency in developing, managing, and optimizing AWS-based applications using cutting-edge technologies and methodologies.

As a Senior Cloud Engineer proficient in AWS and Azure technologies, my responsibilities included:

● Kubernetes Management: Orchestrated and monitored the Kubernetes AKS cluster, overseeing resources such as Azure-AKS, VMs, automation accounts, Active Directory, and storage accounts.

● Security Remediation: Remediated reported vulnerabilities in AWS, Azure cloud, and Linux VMs, ensuring the implementation of robust security protocols.

● Python Scripting: Developed multiple automation scripts using Python boto3, with a primary focus on Lambda functions for instance management and backup tracking.

● Infrastructure Provisioning: Executed automated infrastructure provisioning for both AWS and Azure using Terraform.

● Knowledge Sharing: Documented multiple knowledge base articles, facilitating streamlined information sharing within the team.

● Database Management: Set up new RDS instances, configured backups, and executed restore procedures, streamlining database management.

Technical Proficiency:

Cloud Platforms: AWS, Azure
System Administration: Linux, Windows
Scripting Languages: Bash, PowerShell, Node.js
Monitoring Tools: Dynatrace, SignalFX
Infrastructure as Code: Terraform, CloudFormation
Container Orchestration: Kubernetes

• As a Cloud Engineer proficient in AWS, my daily responsibilities involved:
• EC2 Instance Provisioning: Provisioned Linux and Windows EC2 instances, ensuring optimal configuration.
• Monitoring and Alerting: Configured monitoring and alerting systems for EC2 instances to guarantee continuous performance and availability.
• Lambda Configuration: Implemented Lambda functions to automate backups for EC2 instances, managing retention policies effectively.
• AWS IAM Administration: Administered user accounts in AWS Identity and Access Management (IAM) to ensure secure and controlled access.

Technical Proficiency:

• Cloud Platforms: AWS
• System Administration: Linux