About Ravi Kumar
Experienced DevOps Engineer with 7+ years of expertise in designing, automating, and managing scalable, secure, and highly available cloud infrastructure. Specialized in AWS, Kubernetes (EKS/AKS), Docker, Terraform, Ansible, CI/CD automation, and Infrastructure as Code. Proficient in Jenkins, GitLab CI/CD, Helm, ECS, Fargate, Azure, Linux, Bash scripting, and container orchestration. Experienced with monitoring and observability using Prometheus, Grafana, CloudWatch, Grafana, Prometheus, Fluent Bit, and Zabbix. Skilled in implementing DevSecOps practices, cloud security, cost optimization, disaster recovery, and high-availability architectures. I help organizations accelerate software delivery, improve reliability, and optimize infrastructure through automation and modern DevOps & MLOps practices.
English
Native or bilingual
Hindi
Native or bilingual
Remote only
Primarily works remotely
Experience
- DeloitteDevOps Lead ConsultantDIGITAL AND ITJanuary 2024 - June 2026 (2 years and 5 months)Gurugram, Haryana, India• ● Designed and implemented CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps, reducing deployment time by 35% and increasing releasefrequency across multiple environments.• ● Led containerization of Sitecore applications using Docker and Docker Compose, improving deployment reliability by 20% and optimizing Amazon ECRusage to reduce storage and retrieval costs by 15%.• ● Managed and optimized AWS and Azure infrastructure, ensuring 99.8% uptime, high availability, scalability, and cost efficiency.• ● Automated infrastructure provisioning and configuration using Terraform and Ansible, cutting environment setup time by 40% and improving operational efficiency by 25% through Bash automation.• ● Improved database performance and troubleshooting by managing SQL databases and implementing centralized logging and monitoring with Fluent Bit, Zabbix, and CloudWatch.• ● Collaborated with development, QA, and IT teams to enable smooth deployments and faster feature delivery, achieving 90% on-time project delivery using Jira and ServiceNow.
- HCLTechDevOps AnalystDIGITAL AND ITOctober 2019 - January 2024 (4 years and 3 months)Noida, Uttar Pradesh, India• ● Designed and maintained CI/CD pipelines using Jenkins, GitLab CI/CD, and Azure DevOps, reducing deployment time by 40% and merge conflicts by 30%.• ● Automated application builds and containerization using Maven, Gradle, and Docker, improving build consistency and deployment reliability by 25%.• ● Provisioned and optimized AWS, GCP and Azure infrastructure using Terraform and CloudFormation, improving availability and performance by 50% andreducing configuration errors by 35%.• ● Managed container deployments using Kubernetes (EKS, AKS), ECS, Fargate, and Helm, improving scalability and resource utilization by 50%.• ● Automated configuration, patching, and hardening using Ansible, ensuring 99.9% uptime and boosting operational efficiency by 30%.• ● Implemented centralized monitoring and alerting with CloudWatch and PagerDuty, reducing incident response time by 45% and supporting 95% on-timedelivery.
- ReveloAI DevOps EngineerDIGITAL AND ITFebruary 2026 - June 2026 (4 months)Delhi, IndiaSupported AI/ML platform operations and deployment pipelines for international clients.Designed and maintained CI/CD workflows for machine learning applications and cloud-native services.Automated infrastructure provisioning using Terraform and Infrastructure as Code (IaC) practices.Managed containerized AI workloads using Docker and Kubernetes (AKS/EKS).Built and optimized cloud environments on Azure and AWS for scalable AI model deployment.Implemented monitoring, logging, and alerting solutions to ensure high availability and performance of AI services.Collaborated with data scientists and software engineers to streamline model training, testing, and production deployment.Managed MLOps workflows, including model versioning, artifact management, and automated deployment processes.Improved system reliability, security, and operational efficiency through automation and DevSecOps practices.Optimized cloud resource utilization and reduced operational costs for AI infrastructure.
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Education
- B.E.Samrat Ashok Technological Institute2019With 80%
- 12thGovt. H.S. School Lavkushnagar2014With 91%
Certifications
- AWS Cloud Practitioner CertifiedAmazon Web Services2023
- Google Cloud Engineer Associate CertifiedGoogle Cloud2026