Saad Ghaffar

Sr. DevOps Engineer

SRVERTEX LTD. • Fulltime

Sep 2022 - Present • 3 yrs 8 mos

Project Summary: In the project at SRVERTEX, I spearheaded efforts to optimize the cloud infrastructure, streamline deployment processes, and ensure smooth application delivery. I played a pivotal role by leading the comprehensive design, configuration, and deployment of AWS infrastructure across multiple applications, with a strong emphasis on ensuring high availability, fault tolerance, and auto-scaling capabilities, also implemented automation strategies to enhance efficiency and reliability, contributing significantly to the project's success. Responsibilities:  Orchestrated the design, configuration, and deployment of AWS infrastructure for multiple applications, prioritizing high availability, fault tolerance, and auto-scaling  Leveraged essential AWS services including EC2, Route53, VPC, S3, RDS, CloudFormation, CloudWatch, SQS, and IAM to ensure robust cloud environments.  Implemented AWS Code Pipeline and proficiently crafted CloudFormation JSON templates within Terraform for seamless infrastructure-as-code deployment, streamlining development workflows and enhancing efficiency.  Spearheaded the automation of application development and deployment processes through Docker Swarm and Docker Compose, establishing standardized procedures and enhancing deployment reliability.  Developed CloudFormation Templates (CFT) in both JSON and YAML formats, adhering to the infrastructure-as-code paradigm for building and managing AWS services efficiently.  Engineered staging and production environments using Terraform Templates, ensuring scalability and fault tolerance across multi-tier AWS environments spanning multiple availability zones.  Led the creation of Dev, Staging, Prod, and DR environments using Terraform scripts, with a keen focus on debugging and troubleshooting to optimize deployment processes.  Managed the seamless migration of on-premises applications to the cloud, leveraging critical AWS tools such as ELBs and Auto-Scaling

DevOps Engineer

Kplex • Fulltime

May 2020 - Sep 2022 • 2 yrs 4 mos

Project Summary: In this project, I played a key role in enhancing the cloud infrastructure and deployment processes. I optimized the company's cloud environment for improved performance, scalability, and reliability. My contributions led to smoother deployment processes, reduced downtime, and increased overall efficiency, ultimately driving the project's success and delivering tangible benefits to the organization. Responsibilities: • Worked with Linux and AWS support teams to ensure readiness for new product releases and the adoption of emerging technologies, fostering a culture of continuous learning and improvement. • Designed and built a robust Document Management System on the Cloud using Lambda, Elasticsearch, Containers, Python, Java codes, S3, and DynamoDB, enhancing document organization and accessibility for the organization. • Designed and implemented data encryption mechanisms using AWS Key Management Service (KMS) to protect sensitive data at rest and in transit, ensuring compliance with data security and privacy regulations. • Deployed classic web applications to AWS ECS containers and managed scalable and resilient applications utilizing Instance Group, Auto-scaler, HTTP Load balancer, and Auto-healing, ensuring high availability and performance under varying workloads. • Implemented core technologies including Apache/Nginx, MySQL/PostgreSQL, Varnish, Pacemaker, CRM Clustering, Kubernetes, ELK (Elasticsearch, Logstash, Kibana), and Redis, ensuring robustness and scalability of deployed solutions. • Applied principles of Infrastructure-as-Code (IaC) and built and maintained an IaC codebase using Puppet, Terraform, and Ansible, enabling consistent and reproducible infrastructure deployments. • Automated daily tasks using Bash (Shell) scripts, documented changes in the environment and server configurations, and analyzed error logs and user logs to identify and address issues promptly, ensuring system stability and reliability.