DevOps and Cloud Engineer

Vivasha AI; New Delhi; Hybrid; INR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Paid leave and holidays as per company

Job summary

Vivasha AI Solutions in New Delhi, India, is seeking a DevOps and Cloud Engineer to improve the reliability, security, scalability, and deployment efficiency of its software and AI platforms in a hybrid role.

You will build CI/CD pipelines, containerize with Docker, deploy on AWS/Azure/GCP, and implement monitoring, logging, and security best practices while automating tasks with Python and shell scripting.

Qualifications

• 3-6 years of experience in DevOps, cloud engineering, or infrastructure automation.
• Hands-on knowledge of Linux, networking, Docker, and CI/CD systems.
• Experience with AWS, Azure, or Google Cloud.
• Familiarity with monitoring, logging, security practices, and infrastructure as code.

Responsibilities

• Build and maintain CI/CD pipelines for application testing and deployment.
• Containerize applications and services using Docker.
• Deploy and manage infrastructure on AWS or comparable cloud platforms.
• Configure monitoring, centralized logging, alerting, and backup strategies.
• Manage environment configuration, secrets, access permissions, and infrastructure security.
• Automate operational tasks using Python and shell scripting.
• Troubleshoot production incidents and improve service availability.
• Collaborate with development teams on scalable deployment architectures.

Skills

CI/CD pipelines

Docker

Linux

Cloud platforms

Infrastructure as Code

Python scripting

Tools

Terraform

GitHub Actions

Jenkins

Prometheus

Grafana

Job description

Infrastructure and Platform Engineering New Delhi, India Full-Time Hybrid

Experience 3 - 6 Years

Compensation INR 1,200,000 - 2,000,000

Notice Period Immediate to 30 Days

Openings 1 Open Roles

Job Description

About the role

Vivasha AI Solutions is seeking a DevOps and Cloud Engineer to improve the reliability, security, scalability, and deployment efficiency of its software and AI platforms. You will establish automated deployment workflows, manage cloud infrastructure, and help operate containerized backend services and machine learning applications.

Responsibilities

• Build and maintain CI/CD pipelines for application testing and deployment.
• Containerize applications and services using Docker.
• Deploy and manage infrastructure on AWS or comparable cloud platforms.
• Configure monitoring, centralized logging, alerting, and backup strategies.
• Manage environment configuration, secrets, access permissions, and infrastructure security.
• Automate operational tasks using Python and shell scripting.
• Troubleshoot production incidents and improve service availability.
• Collaborate with development teams on scalable deployment architectures.

Requirements

• 3-6 years of experience in DevOps, cloud engineering, or infrastructure automation.
• Hands-on knowledge of Linux, networking, Docker, and CI/CD systems.
• Experience with AWS, Azure, or Google Cloud.
• Familiarity with monitoring, logging, security practices, and infrastructure as code.
• Ability to diagnose deployment failures and production performance issues.
• Competitive annual CTC based on relevant experience.
• Opportunity to support AI and data-intensive workloads.
• Technical ownership of deployment and reliability improvements.
• Learning opportunities across cloud infrastructure and automation.
• Paid leave and holidays as per company policy.

Required Skills

Preferred Skills

Kubernetes Terraform GitHub Actions Jenkins Prometheus Grafana Infrastructure as Code