Khayam Khurshid

About Khayam Khurshid

I’m a DevOps & Cloud Engineer with a strong foundation in software development and cybersecurity, focused on building systems that are scalable, secure, and intelligent. I began my career as a software developer, where I spent four years gaining hands-on experience building real-world applications. That background allows me to design infrastructure and pipelines that truly support developers—not just in theory, but in practice. I later expanded into cybersecurity, developing expertise in securing systems, identifying vulnerabilities, and strengthening both application and infrastructure defenses. Today, I operate at the intersection of DevOps, cloud, and security, applying a DevSecOps mindset to everything I build. I work extensively with AWS, Azure, Kubernetes, Terraform, Docker, and CI/CD tools like Jenkins to design and manage modern, resilient infrastructure. I also integrate AI-driven practices (AIOps/MLOps) to make systems more proactive, adaptive, and efficient. What I do: Build and optimize CI/CD pipelines for fast, reliable deployments Design scalable, infrastructure-as-code solutions using Terraform Manage Kubernetes clusters and containerized workloads Embed security into pipelines (DevSecOps), including vulnerability scanning and compliance Implement monitoring and observability with intelligent alerting and anomaly detection Apply AI/ML techniques for log analysis, predictive scaling, and incident response Strengthen cloud security posture and reduce risk across environments I enjoy simplifying complex systems, automating manual processes, and building secure, resilient platforms that help teams move faster with confidence. Outside of work, I’m naturally curious and always exploring new tools—especially in cloud, DevOps, cybersecurity, and AI. If you\'re interested in automation, secure infrastructure, or intelligent systems, feel free to connect.

Experience

1. Devops Engineer

   NECSEN

   Feb 2023 — Present · US

   Managed and optimized cloud infrastructure on AWS (EC2, EKS, Lambda) supporting a high-traffic Shopify analytics platform (TrackifyX). • Designed and provisioned scalable infrastructure using Terraform (IaC), reducing environment provisioning time by 40%. • Administered EKS clusters running microservices-based applications, improving system scalability and availability by 20%. • Implemented and maintained CI/CD pipelines using Jenkins, enabling automated and reliable deployments. • Containerized and deployed applications using Docker and Kubernetes, leveraging Helm charts for consistent deployments. • Monitored infrastructure using CloudWatch, Prometheus, and Grafana, proactively identifying performance bottlenecks. • Performed log analysis and root cause analysis (RCA) to resolve production incidents and improve system reliability. • Enhanced system performance during peak traffic by optimizing load balancing and auto-scaling strategies, minimizing downtime. • Automated operational workflows using Bash and Python, reducing manual effort and improving efficiency. • Leveraged AI/ML-based log analysis techniques to detect anomalies and identify patterns in production incidents. • Utilized AI-assisted tools to accelerate root cause analysis and incident resolution, improving response time. • Implemented intelligent alerting strategies by reducing noise and prioritizing critical incidents using pattern-based monitoring approaches.

Education

• Northumbria University

  Master's degree, Cyber security

• COMSATS Institute of Information and Technology

  Bachelors of computer science, Computer Science

• Trine University

  Master of information Science, Information Technology