Software Engineer with hands-on experience in DevOps and Cloud engineering, specializing in designing, deploying, and managing production-grade AWS infrastructure. Strong background in Docker, Kubernetes, CI/CD automatio…
Software Engineer with hands-on experience in DevOps and Cloud engineering, specializing in designing, deploying, and managing production-grade AWS infrastructure. Strong background in Docker, Kubernetes, CI/CD automation, and Python-based backend systems. Experienced in building scalable, secure, and reliable platforms supporting OTT and data-processing workloads. Certified Kubernetes Administrator (CKA) with a focus on automation, system reliability, and operational excellence. Developed FastAPI-based Python APIs for ingesting YouTube and external video sources, automating video downloads, transcoding, and asset management using yt-dlp and FFmpeg.
Designed and deployed end-to-end AWS infrastructure including VPCs, EC2, ALB/NLB, CloudFront CDN, Route 53, and secure jump servers to support production environments
Managed Dockerized microservices on Amazon ECS, improving deployment reliability and supporting high-traffic OTT workloads
Architected and implemented a secure, end-to-end CI/CD pipeline using GitHub Actions with OIDC authentication and Kubernetes on EKS, enabling GitOps-based deployments with immutable artifacts in ECR, automated testing, environment segregation (staging/production), and full auditability
Built and maintained CI/CD pipelines using Jenkins, storing artifacts in Amazon S3 and automating deployments to Elastic Beanstalk for consistent release workflows
Deployed and operated Kafka clusters on Amazon EKS, enabling scalable message streaming integrated with ClickHouse for high-performance analytics
Implemented a distributed log-processing pipeline using DolphinScheduler, MySQL, ZooKeeper, and EC2 to process CloudFront logs for real-time IP threat analysis
Built an end-to-end logging and monitoring pipeline where WAF and access logs are stored in S3, processed using AWS Lambda, and visualized in OpenSearch and Kibana
Developed Python-based automation pipelines for video ingestion, downloading, and processing using yt-dlp and FFmpeg
Automated thumbnail sprite generation and WebVTT workflows, integrating outputs with Amazon S3 and CloudFront
Designed and deployed end-to-end AWS infrastructure including VPCs, EC2, ALB/NLB, CloudFront CDN, Route 53, and secure jump servers to support production environments. Managed Dockerized microservices on Amazon ECS, improving deployment reliability and supporting high-traffic OTT workloads. Architected and implemented a secure, end-to-end CI/CD pipeline using GitHub Actions with OIDC authentication and Kubernetes on EKS, enabling GitOps-based deployments with immutable artifacts in ECR, automated testing, environment segregation (staging/production), and full auditability. Built and maintained CI/CD pipelines using Jenkins, storing artifacts in Amazon S3 and automating deployments to Elastic Beanstalk for consistent release workflows. Deployed and operated Kafka clusters on Amazon EKS, enabling scalable message streaming integrated with ClickHouse for high-performance analytics. Implemented a distributed log-processing pipeline using DolphinScheduler, MySQL, ZooKeeper, and EC2 to process CloudFront logs for real-time IP threat analysis. Built an end-to-end logging and monitoring pipeline where WAF and access logs are stored in S3, processed using AWS Lambda, and visualized in OpenSearch and Kibana. Developed Python-based automation pipelines for video ingestion, downloading, and processing using yt-dlp and FFmpeg. Automated thumbnail sprite generation and WebVTT workflows, integrating outputs with Amazon S3 and CloudFront.
Designed and deployed end-to-end AWS infrastructure including VPCs, EC2, ALB/NLB, CloudFront CDN, Route 53, and secure jump servers to support production environmentsManaged Dockerized microservices on Amazon ECS, improving deployment reliability and supporting high-traffic OTT workloadsArchitected and implemented a secure, end-to-end CI/CD pipeline using GitHub Actions with OIDC authentication and Kubernetes on EKS, enabling GitOps-based deployments with immutable artifacts in ECR, automated testing, environment segregation (staging/production), and full auditabilityBuilt and maintained CI/CD pipelines using Jenkins, storing artifacts in Amazon S3 and automating deployments to Elastic Beanstalk for consistent release workflowsDeployed and operated Kafka clusters on Amazon EKS, enabling scalable message streaming integrated with ClickHouse for high-performance analyticsImplemented a distributed log-processing pipeline using DolphinScheduler, MySQL, ZooKeeper, and EC2 to process CloudFront logs for real-time IP threat analysis
The AI-first Recruitment Operating System that unifies and automates the entire hiring lifecycle for modern enterprises worldwide.
Dr Job FZ LLC. 2026 © All Rights Reserved
