08/31/2026 updated

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60 % partially available

AI DevOps Engineer | Cloud Infrastructure & CI/CD Automation Specialist

Ghaziabad, India
Only remote
B.Tech in Information Technology, First Division with Honours
Ghaziabad, India
Only remote
B.Tech in Information Technology, First Division with Honours

Profile attachments

riya_resume_2026.pdf

GitHub ActionsAzure DevOpsPython (Programming Language)GrafanaAWS ECS
Cloud Infrastructure Management
Expertise across multiple cloud platforms including AWS, Azure, GCP, and DigitalOean. Management of production-grade infrastructure such as EC2, S3, ELB, ASG, IAM, VPC, Azure VMs, AKS, Blob Storage, Cloud SQL, Droplets, Managed Databases, and Load Balancers, resulting in significant cost reductions.

CI/CD Pipeline Automation
Design and implementation of CI/CD pipelines using GitHub Actions, Jenkins, and AWS CodePipeline. Automation of deployment and release processes for containerized applications and backend services, reducing deployment time by up to 65%.

Container Orchestration with Kubernetes and Docker
Deployment and management of containerized workloads using Docker, Kubernetes, and Docker Swarm. Hands-on experience with Kubernetes autoscaling, rolling updates, RBAC, resource tuning, and supporting DevOps operations in production environments.

Infrastructure as Code (IaC)
Provisioning and management of cloud infrastructure using Terraform, OpenTofu, and CloudFormation to enable repeatable and automated deployments.

Configuration Management
Automation of server configuration and application deployments using Ansible, Chef, and Puppet across diverse environments.

Monitoring and Observability
Setup and management of monitoring stacks using Prometheus, Grafana, Loki, and ELK Stack to track infrastructure health, application performance, and incidents.

AI/LLM Integration and Deployment
Development of AI agent systems and deployment of LLM stacks including Mistral, Ollama, and Claude. Experience with Mistral-based LLM serving with GPU autoscaling and Python AI tooling.

Database Management
Management of PostgreSQL, MySQL, and Redis production workloads, including 10TB+ data environments across PostgreSQL and SQL Server.

Scripting
Automation and tooling using Bash and Python scripting for DevOps workflows and AI tooling.

Version Control and GitOps
Proficiency with Git, GitHub, and CodeCommit. Experience with GitOps practices and deployment tools including ArgoCD and Helm.

Experience

Professional experience0 - 5 years
Freelancer since2021

Languages

EnglishFluentHindiNative speakerSpanishBasic knowledge

Project history

AI DevOps Engineer

AspireGDC
Managing and supporting on-premises server infrastructure and production environments. Working on CI/CD pipelines, deployment automation, and release management. Managing monitoring and observability stacks. Supporting containerized workloads using Docker, Kubernetes, and automation tooling. Troubleshooting production issues and collaborating with development and infrastructure teams.

AI DevOps Engineer

Deeprunner AI
Managed production infrastructure on DigitalOcean including Droplets, Managed Databases, and Load Balancers. Built CI/CD pipelines using GitHub Actions and deployed containerized AI and backend services using Docker and Kubernetes. Managed PostgreSQL and Redis production workloads with monitoring via Prometheus and Grafana. Developed internal AI agent systems and worked with LLM stacks including Mistral, Ollama, and Claude.

DevOps Engineer

Verismart.ai (Metawing Technologies Pvt Ltd.)
Managed cloud infrastructure across Azure and GCP including Azure VMs, AKS, Blob Storage, Cloud SQL, Memorystore, and Cloud Scheduler. Managed 10TB+ of data across PostgreSQL and SQL Server environments. Configured Nginx, Apache, and SonarQube and automated deployments using Kubernetes and Ansible.

Associate Software Engineer (DevOps)

Accenture Solutions Pvt Ltd.
Containerized applications with Docker and deployed workloads on AWS EKS. Built and automated CI/CD pipelines using AWS CodePipeline and Ansible, reducing deployment and release time by up to 65%. Managed AWS infrastructure including EC2, S3, ELB, ASG, IAM, and VPC, contributing to a 63% reduction in infrastructure costs. Worked with GitOps and deployment tools including ArgoCD.

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