
Ata-Ul Munim
About Candidate
Experienced DevOps Engineer with over 7+ years in the IT industry, known for driving cost savings of approximately 30% annually by optimizing cloud infrastructure. Proven track record in mitigating risks through robust security measures and mentoring junior engineers to elevate team performance. Successfully managed and delivered international projects across various time zones, enhancing operational efficiency for startups and global enterprises.
Location
Education
Work & Experience
• Boosted website load speed by 30% and enhanced user experience by implementing AWS/Azure infrastructure for e-commerce and blogging platforms.
• Increased client satisfaction by 25% through effective technical support and issue resolution.
• Improved uptime by 40% and reduced security vulnerabilities by deploying secure, high-performance cloud servers.
• Streamlined operations and cut manual workload by 50% by automating daily tasks with Bash scripts.
• Enhanced system reliability by managing Linux servers, reducing downtime by 20%.
• Optimized MySQL Database Servers, improving data management efficiency and speeding up query responses.
• Reduced unauthorized access incidents by 30% by creating SSH-jailed environments for enhanced security.
• Installed and set up operating systems, software, and devices, ensuring seamless functionality.
• Troubleshot network and device issues, delivering timely solutions.
• Increased application scalability by 40% and reduced deployment time by deploying Microservices architecture on Ubuntu/CentOS.
• Accelerated deployment cycles by 30% through Jenkins CI/CD configuration, boosting development efficiency.
• Enhanced server reliability by 25% by monitoring AWS, DO, and GCP servers with ELK Stack.
• Optimized multiple microservices by creating and refining Docker images, improving container efficiency.
• Managed and optimized web servers on Ubuntu, ensuring stable operations.
• Strengthened network security and isolation by configuring VPC subnets on AWS/Azure.
• Improved client satisfaction by 30% through prompt technical support, resolving issues efficiently.
• Streamlined infrastructure management by deploying Terraform scripts on Azure DevOps.
• Enhanced log analysis and code quality by setting up and configuring ELK Stack and SonarQube on AWS/Azure.
• Optimized system performance by implementing design patterns for distributed systems, reducing latency by 40%.
• Secured Kubernetes pod deployments, reducing errors by 50% and ensuring compliance with security standards.
• Accelerated development cycles by configuring CI/CD pipelines, improving deployment frequency.
• Administered LEMP, LAMP, Node.js, and Django web servers, ensuring efficient operations.
• Built and managed cloud infrastructure on AWS and Azure for multiple clients, delivering scalable solutions.
• Enhanced security and compliance by modifying and deploying AWS policies using Terraform.
• Optimized AWS and Azure infrastructure, cutting operational costs by 25%.
• Designed and implemented pipelines with Jenkins and Azure DevOps, streamlining deployments.
• Automated workflows by developing custom Bash and Python scripts for Azure DevOps.
• Accelerated deployment speed by containerizing applications on Azure, boosting scalability.
• Improved uptime by 30% through EKS and AKS deployments, enhancing application reliability.
• Secured sensitive information with Azure DevOps variable groups, reducing security risks.
• Strengthened infrastructure consistency by deploying Azure and AWS policies with Terraform.
• Enhanced code quality by implementing SonarQube for security checks.
• Improved security practices with global variables in Azure pipelines, minimizing the risk of data breaches.
• Strengthened application security by implementing secure IAM and Azure policies, reducing unauthorized access.
• Deployed app on ECS and S3, reducing hosting costs by 25% and boosted site availability.
• Engineered Bash scripts for Slack alerts, reducing CI/CD response times by 35%.
• Managed DNS & CDN with GoDaddy, Cloudflare and Cloudfront improving response times.
• Tracked emails using SES, SNS, and AWS Lambda and stored in DynamoDB & S3 to analyze the results.
• Transformed incoming requests using Cloudflare worker and page rules.
• Implemented AWS Rekognition to recognize and analyze the facial feature for identity verification.
• Accelerated deployment efficiency by optimizing Bitbucket, Azure DevOps and GitLab pipelines.
• Secured communications with SSL certificates, ensuring compliance and user trust.
• Enhanced infrastructure with reusable Terraform modules, reducing configuration errors by 25%.
