Ameer Shaik
Cloud Software Developer

Ameer Shaik

Architecting scalable cloud infrastructure and building production-ready backend systems across AWS, Azure, and Kubernetes platforms

4+
Years Experience
2+
Clouds (AWS & AZURE)
5+
Certifications
Get In Touch View Projects
01

Professional Overview

Software Engineer with 4+ years of strong expertise in Cloud (AWS & Azure), DevOps and Backend development with Spring Boot and FastAPI, specializing in designing scalable AWS/Azure architectures, building production-ready CI/CD pipelines, and developing automation and backend services in Python and Java.

Experienced in Kubernetes, Terraform, serverless platforms, and observability tooling, with a track record of improving reliability, accelerating deployments, and reducing operational overhead. Brings cross-domain experience across healthcare, finance, and mobility, delivering secure, compliant, and high-performing cloud-native solutions.

Currently working as a Research Assistant at SUNY Binghamton (GPA: 3.4/4.0), developing backend services for the PrivGuard privacy platform while pursuing a Master's in Computer Science. Actively seeking full-time opportunities in Cloud Engineering, DevOps, and Backend Development.

Education

Master's in Computer Science

SUNY Binghamton, USA

GPA: 3.4/4.0

Location

Binghamton, New York

United States

Contact

ameersk1401@gmail.com

+1 607-444-1777

02

Technical Expertise

☁️

Cloud Platforms

Amazon Web Services (AWS)
EC2, S3, Lambda, RDS, DynamoDB, VPC, IAM, SNS, SQS, EventBridge, CloudWatch, CloudFormation, CloudTrail, CodeCommit, CodeDeploy, CodeBuild, CodePipeline, EKS, API Gateway, Kinesis, Athena, Glue, Redshift, EMR, Backup, ECS Fargate
Microsoft Azure
Virtual Machines, Virtual Networks, RBAC, Blob Storage, App Services, Azure Functions, CosmosDB, Azure SQL Server, Azure AD, Azure Key Vault, Azure Monitor, Azure AKS, Azure Site Recovery
⚙️

DevOps & Infrastructure

Infrastructure as Code & Configuration Management
Terraform, CloudFormation, Azure Resource Manager, Ansible, Chef, Puppet
CI/CD & Automation
GitHub Actions, Jenkins, CodePipeline, Azure DevOps
Containers & Orchestration
Docker, Kubernetes, AWS EKS, Azure AKS, Helm
💻

Programming & Development

Languages
Python, Java, SQL, Bash/Shell
Frameworks & API Development
Spring Boot, FastAPI, RESTful APIs
Version Control
Git, GitHub
🗄️

Data & Analytics

Databases
DynamoDB, CosmosDB, Azure SQL Database, PostgreSQL, MySQL, Redis
Data Tools & Pipelines
AWS Glue, Redshift, Kinesis, Athena, EMR
Monitoring & Observability
CloudWatch, Grafana, Prometheus, ELK Stack, Datadog, Azure Monitor, AWS X-Ray
03

Featured Projects

CostGuardian

Serverless AWS Cost Optimization Engine

Engineered serverless multi-stage remediation pipeline analyzing EC2, EBS, AMIs, S3, and networking resources, achieving 35% cost reduction with snapshot-backed safety and zero false-delete risk using Lambda, EventBridge, and DynamoDB coordination.

Cost Reduction 35%
Architecture Serverless
Safety Zero Risk
Python Terraform AWS Lambda EventBridge DynamoDB CloudWatch S3 CloudFront
  • Built modular Terraform IaC deployed via GitHub Actions OIDC for infrastructure automation
  • Implemented multi-stage remediation with snapshot-backed safety mechanisms for risk-free deletions
  • Created CloudFront + S3 dashboard for visualizing remediation outcomes and cost-savings summaries
  • Analyzed EC2, EBS, AMIs, S3, and networking resources across multiple AWS services
  • Achieved 35% cost reduction through intelligent resource identification and cleanup

TalentMatch-AI

AI-Powered Resume Matching Platform

Architected serverless semantic matching engine using AWS Lambda and Amazon Bedrock (Claude 3 Haiku) processing resumes via Telegram, extracting skills and matching against job descriptions with ranked results and detailed explanations.

AI Model Claude 3 Haiku
Processing Real-time
Interface Telegram Bot
Python AWS Lambda API Gateway DynamoDB S3 Amazon Bedrock Telegram Bot API Terraform
  • Implemented PDF ingestion, AI-driven extraction, and DynamoDB/S3 persistence for resume processing
  • Built conversational Telegram interface for seamless user interaction and result delivery
  • Deployed via modular Terraform and GitHub Actions CI/CD for automated infrastructure provisioning
  • Leveraged Amazon Bedrock's Claude 3 Haiku for semantic skill matching and ranking
  • Provided detailed explanations for each match to help users understand compatibility

Cloud Resume Challenge - AWS

Full-Stack Cloud Application

Complete serverless web application implementing the Cloud Resume Challenge with a visitor counter, CI/CD pipelines, and infrastructure as code. Features secure HTTPS hosting, custom domain, API integration, and automated deployments.

Deployment CI/CD
Security HTTPS
Infrastructure IaC
HTML/CSS/JavaScript S3 CloudFront Route 53 API Gateway Lambda DynamoDB Python SAM/Terraform GitHub Actions
  • Deployed static website on S3 with CloudFront CDN and custom domain via Route 53
  • Built serverless REST API using API Gateway and Lambda for dynamic visitor counter
  • Implemented DynamoDB for persistent visitor count storage with boto3 Python SDK
  • Automated infrastructure provisioning using AWS SAM/Terraform templates
  • Created CI/CD pipelines with GitHub Actions for automated testing and deployment
  • Achieved full HTTPS security with CloudFront SSL/TLS certificates

Azure Three-Tier Web Application

Production Infrastructure

Deployed a production-grade three-tier application architecture on Microsoft Azure featuring VMSS for web and application tiers, Azure SQL Database for data persistence, with comprehensive security implementation including NSGs, Azure Bastion, and Private Endpoints.

Uptime SLA 99.9%
Auto-Scaling 2-5 Instances
Daily Cost $10-15
Azure VMSS Application Gateway Azure SQL Node.js NGINX Azure Monitor
  • Configured Application Gateway (Layer 7) and Internal Load Balancer (Layer 4)
  • Achieved zero downtime during planned and unplanned failures
  • Implemented network micro-segmentation and TDE encryption
  • Automated backups and disaster recovery procedures

Job Snooper

Automation Pipeline

Developed an automated job aggregation system using GitHub Actions and Python, featuring daily and hourly CI/CD workflows for web scraping, HTML template formatting, and multi-recipient email distribution with state management.

Execution Frequency Hourly/Daily
Automation Rate 100%
Duplicate Rate 0%
GitHub Actions Python CI/CD SMTP HTML
  • Built state-tracking system preventing duplicate notifications
  • Implemented reusable workflow templates for maintainability
  • SMTP integration with multi-recipient support
  • Demonstrated DevOps automation and orchestration best practices
04

Professional Experience

Feb 2026 - Present

Research Assistant

Binghamton University · Binghamton, NY
  • Designing and developing backend services for PrivGuard privacy platform using Java Spring Boot (policy rule engine) and Python FastAPI (differential privacy analyzer)
  • Building cloud-native microservices on AWS Lambda, ECS Fargate, API Gateway, S3, and DynamoDB for scalable and secure processing pipelines
  • Implementing CI/CD workflows using GitHub Actions and Infrastructure-as-Code provisioning with Terraform
  • Integrating differential privacy algorithms (Laplace, Gaussian) and synthetic data generation frameworks (SmartNoise, diffprivlib, SDV)
  • Developing rule-based privacy validation logic for detecting PII, quasi-identifiers, and applying k-anonymity principles
Mar 2025 - Dec 2025

AWS DevOps Engineer (Intern)

NYC Health + Hospitals · New York, USA
  • Automated AWS infrastructure provisioning using CloudFormation, Terraform, and Python, reducing environment setup time from 3 days to 4 hours (95% improvement)
  • Designed and managed VPC networking components including subnets, routing rules, security groups, and load balancers for 20+ secure deployments
  • Implemented AMI versioning and S3 lifecycle policies, reducing storage costs by 40% across 100+ resources
  • Built CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment failures by 60%
  • Developed operational automation using Lambda, SNS, SQS, and EventBridge, eliminating 15 hours/week of manual work
  • Configured observability with CloudWatch, AWS Config, and CloudTrail for HIPAA compliance auditing
May 2022 - Apr 2023

Backend DevOps Engineer

Jefferies Financial Group · Mumbai, India
  • Designed and developed 12+ large-scale Java Spring Boot microservices for trading systems with 40+ RESTful API endpoints
  • Built web-based trading applications processing 300K+ daily financial transactions in real-time with Azure SQL Database
  • Designed database schemas for 15+ tables and improved query performance by 60% through strategic indexing
  • Built CI/CD pipelines with Jenkins and Azure DevOps, reducing deployment time from 4 hours to 1 hour (75% improvement)
  • Integrated DevSecOps practices including SAST/DAST scanning, identifying and remediating 100+ security vulnerabilities
  • Implemented Azure Key Vault for secrets management and Azure AD authentication for 12+ microservices
  • Troubleshot production issues resolving 40+ critical incidents, reducing MTTR by 40%
Mar 2020 - Apr 2022

Cloud Engineer

TVS Motor Company · Mumbai, India
  • Designed and developed backend microservices for connected vehicle applications processing 1M+ daily telemetry events from 50,000+ vehicles
  • Implemented CI/CD automation reducing deployment time by 65% with 3-4 production releases per week
  • Built Infrastructure-as-Code solutions with Terraform, reducing provisioning time from 2 days to 30 minutes
  • Managed containerized workloads on Kubernetes (EKS), deploying 25+ microservices using Helm
  • Developed 10+ Python-based APIs and automation tools handling 100K+ API calls daily
  • Configured observability stacks using CloudWatch, ELK, Grafana, and X-Ray, reducing MTTR by 50%
05

Professional Certifications

AWS Solutions Architect Associate

AWS Solutions Architect

Associate (SAA-C03)
Amazon Web Services
Azure Administrator Associate

Azure Administrator

Associate (AZ-104)
Microsoft
Terraform Associate

Terraform Associate

(003)
HashiCorp
AWS AI Practitioner

AWS AI Practitioner

(AIF-C01)
Amazon Web Services
IBM Python for Data Science

Python for Data Science, AI & Development

Q97UGU4HAXXG
IBM
SQL Masterclass

SQL Masterclass: SQL for Data Analytics

UC-81af80b2-31ee-4f01-bf70-7d386635b8a6
Udemy
Git for Beginners

Git for Beginners

UC-a2909c07-90e7-43b2-8177-e77fcccb89cc
Udemy
ServiceNow CSA

ServiceNow CSA

Certified System Administrator
ServiceNow
06

Get In Touch

Let's Connect

Currently seeking opportunities in Cloud Engineering, DevOps, and Data Engineering. I'm passionate about building scalable infrastructure solutions and would love to discuss how I can contribute to your team.

✉️
Email
ameersk1401@gmail.com
📱
Phone
+1 607-444-1777
💼
LinkedIn
linkedin.com/in/ameer-sk
⚡
GitHub
github.com/ameer-sk1401