Open to opportunities

Azmath Ahmed

@azmathahmed

Message

Cloud & DevOps Engineer building AWS automation, Kubernetes reliability, and AI-driven observability.

India

Message

What I'm looking for

I’m looking for a Cloud/DevOps role where I can automate AWS infrastructure with Terraform and Kubernetes, ship secure CI/CD reliably, and apply AI-driven monitoring to reduce operational toil and improve uptime.

I’m a Cloud & DevOps Engineer with 16 months of hands-on experience designing, automating, and operating AWS infrastructure. I focus on Terraform IaC, Kubernetes orchestration, CI/CD pipelines, and full-stack observability to ship faster while keeping systems stable.

In production work, I delivered measurable impact: 70% faster deployments, 99.9% uptime, and an 80% reduction in provisioning effort. I’ve built DevSecOps gates into every release using tools like SonarQube, Trivy, and OWASP, and I’ve tuned Kubernetes operations for zero-downtime deployments through rolling updates, HPA, and health probes.

I’m also building AI-driven infrastructure tooling—using LangChain and AWS Bedrock—to automate anomaly detection and reduce operational toil. With AWS monitoring automation (CloudWatch-driven log ingestion, alerting, and Slack notifications), I’ve cut manual log review by 60% and improved alert-to-action efficiency.

Experience

Work history, roles, and key accomplishments

Current

Cloud & DevOps Engineer Intern

Current

Alagzoo Corp

Oct 2025 - Present (8 months)

Provisioned AWS Dev/QA/production infrastructure with Terraform, reducing manual provisioning by 80% and eliminating environment drift. Built CI/CD pipelines and managed EKS workloads to cut deployment cycle time by 70%, achieve 99%+ success rates, and enable zero-downtime deployments.

AWS EC2 VPC IAM RDS EKS Terraform CI CD GitHub Actions Slack Alerts)Trivy OWASP Kubernetes (HPA Health Probes)Slack Alerts

Cloud & DevOps Engineer Intern

Full Stack Academy

Jan 2025 - Sep 2025 (8 months)

Designed a Multi-AZ AWS three-tier architecture that sustained 99.9% uptime and introduced reusable Terraform modules to reduce drift by 90%. Automated CI/CD with GitHub Actions and EKS observability using Prometheus/Grafana, reducing rollback time to under 15 minutes and cutting MTTR by 50%.