Abdullah Ejaz

Led the development and deployment of a business-critical, AI-driven car marketplace on Amazon ECS, supporting over 200K users with automated deployments and robust security.

Automated migration from manual EC2 deployments to an Amazon ECS Fargate microservices architecture, reducing manual engineering effort by 90% through Terraform and GitHub Actions.

Redesigned system architecture following AWS Well-Architected best practices, leveraging Compute Optimizer and Cost Explorer to achieve a 30% reduction in cloud costs.

Architected and deployed AI-centric application components using Amazon SageMaker, Lambda, SQS, and DynamoDB to optimize AI workflows and enhance system performance.

Directed infrastructure design and cloud deployment for AlBee, an AI Car Search Service, on AWS Elastic Beanstalk, integrating Dockerized FastAPI, LangGraph, Amazon Bedrock APIs, and MongoDB Atlas.

Managed the full DevOps lifecycle across diverse projects, including AWS Cloud, on-premises data centers, and mobile apps, delivering bespoke automation and CI/CD solutions.

Implemented scalable enterprise developer tools and data platforms like Kestra, Coder, and Elasticsearch as Kubernetes workloads on AWS EKS.

Enhanced production stability and reduced outages by applying AWS Well-Architected principles, integrating robust logging, monitoring, and alerting systems.

Successfully migrated approximately 10 legacy applications to AWS ECS and EKS using GitOps workflows, significantly improving deployment reliability and system uptime.

Developed Python-based AWS validator and Lambda-based cleanup tools, automating the detection and decommissioning of idle resources in development environments.

Designed and implemented a cross-account, cross-region AWS Backup architecture adopted by over 10 customers, enhancing data resilience and recovery capabilities.

Led a DevOps team in maintaining critical production environments for a NASDAQ-listed company, minimizing downtime and ensuring operational stability.

Managed high-priority production incidents, implementing RCA processes that improved system resilience and uptime by 30%.

Enhanced monitoring, alerting, and automation systems to proactively detect failures, reducing incident frequency and ensuring seamless operations.

Created and maintained over 40 reusable Terraform and CloudFormation modules, automating multi-environment deployments and AWS account setups for numerous enterprise clients.

Designed and managed secure AWS environments for multiple clients, aligning IaaC architectures with AWS best practices for automated provisioning.

Engineered and validated a Hub-and-Spoke AWS architecture with Fortinet FortiGate AMI, streamlining network traffic flow and resource sharing across security and customer accounts using Terraform and AWS RAM.

Integrated a new service into the Dockerized AWS ECS environment, enhancing the company's official website and automating infrastructure provisioning with Terraform.

Developed an AWS SAM solution for CloudWatch alarms, enabling automated Slack alerts for memory and CPU utilization anomalies.

Authored Python and Bash automation scripts for containerized applications, streamlining testing and deployment processes on AWS.

Established and maintained CI/CD pipelines using Jenkins, ensuring robust documentation and architectural clarity.