Shan Ahmad

Led cloud-agnostic transformation and infrastructure optimization for various projects at a global software development company
Re-architected monolith application into microservices on AWS EKS
Led the implementation of IaC automation with Terraform, CI/CD automation with Github Actions, GitOps with Helm & ArgoCD, achieving a 40% reduction in deployment time for both infrastructure and application
Spearheaded SOC 2 and ISO 27001 audits, implementing security controls and reinforcing compliance with global information security standards
Implemented Gen-AI infrastructure with NVIDIA GPUs, deploying Llama3B & Phi3 via Ollama, driving a 25% improvement in AI model efficiency
Implemented disaster recovery solutions, cutting RTO by 30% and improving RPO by 25%, guaranteeing business continuity
Mitigated vulnerabilities flagged by AWS Inspector and fine-tuned AWS WAF rules to bolster threat detection, prevent malicious traffic, and maintain alignment with security frameworks and compliance standards
Integrated Okta-based SSO with AWS Control Tower and AWS Organizations, centralizing identity management for multiple AWS accounts
Refined Datadog monitoring setup with optimized alerts and dashboards, improving detection accuracy and operational efficiency

Performed detailed review of their AWS EKS architecture for a Terraform-managed Mulesoft platform, proposing and implementing strategic improvements to optimize performance, security and operational efficiency
Addressed CPU throttling by optimizing Kubernetes configurations and analyzing metrics from Dynatrace, resulting in significant performance improvements improving application efficiency by 25%

Engineered improvements in AWS-based microservice infrastructure, enabling 99.99% uptime and resilient operations for a global fintech solution
Revamped GitLab CI/CD pipelines with one-click deployment and feature-based testing, cutting onboarding time for microservices by 50%
Managed AWS EKS, Kafka, and RDS Aurora Global Clusters, optimizing performance and reliability for mission-critical systems
Automated 100% of cloud provisioning with Terraform, Terragrunt, and Ansible, reducing manual effort and configuration drift
Deployed Datadog’s observability suite including APM to improve system performance monitoring, leading to a 20% reduction in MTTR
Applied security best practices, strengthened cloud security, implemented automated vulnerability scanner on entire infratrastructure
Drove a 35% reduction in AWS costs through strategic resource optimization and adoption of FinOps best practices
Collaborated closely with cross-functional teams to streamline release processes, successfully reducing deployment errors by 20%

Led cloud infrastructure management to implement multi-environment AWS infrastructure using EKS, RDS Aurora, and Kafka, improving scalability
Migrated legacy services to Kubernetes/Docker, cutting resource consumption by 30% with scalability using HPA/VPA & cluster-autoscaler
Applied cost optimization best practices to cut 40% cloud expenses
Implemented Datadog for centralized monitoring and observability, enhancing proactive incident resolution times by nearly 35%
Engineered efficient CI/CD workflows with GitHub Actions, enabling faster, reliable daily deployments and accelerating feature delivery
Improved cloud security, reducing frequency of security incidents by 50%

Delivered DevOps and DevSecOps services for multiple enterprise-level projects globally on AWS, Azure and Google Cloud
Designed and implemented a scalable AWS architecture for AI applications, utilizing AWS ECS Fargate, GitHub Actions, and Jenkins, reducing deployment time by 30% and enhancing CI/CD pipeline efficiency
Performed security penetration testing on web and mobile apps with vulnerability assessment and remediation, reducing security risks by 40%

• Designed and managed AWS architecture to support a high-traffic gaming
application, improving uptime by 20%. Deployed Redshift-based reporting
system, reducing database query time by 40% for real-time analytics

Managed AWS cloud and on-premise infrastructure for e-commerce and VoIP services.
Optimized AWS infrastructure for e-commerce platforms, leading to a 25% increase in transaction throughput

Optimized data-center performance, ensuring VoIP service uptime to 99.8%
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