AI Dev Ops Engineer

Bootminds; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Bootminds is seeking a DevOps engineer with a strong AI focus to drive automation across CI/CD pipelines and cloud environments. You will apply AI in DevOps workflows and build AI-enabled tooling to streamline engineering processes.

You will design, implement and maintain infrastructure, monitor observability, and develop dashboards. Proficiency in Python, Linux scripting, Docker/Kubernetes, and IaC is essential for this role.

Qualifications

• Strong experience in CI/CD, DevOps, and infrastructure automation.
• Hands-on exposure to applying AI in DevOps and engineering workflows.
• Experience with custom AI bots, AI agents, or embedded AI capabilities.
• Good understanding of cloud infrastructure and environment management.
• Experience setting up and managing projects on AWS, Azure, or GCP.
• Hands-on experience designing and maintaining CI/CD pipelines.
• Familiarity with Git-based development and deployment workflows.
• Experience with infrastructure provisioning and configuration automation.
• Strong knowledge of monitoring, logging, alerting, and observability.
• Experience creating operational dashboards and health metrics.
• Ability to identify DevOps activities suitable for AI-driven automation.
• Experience integrating AI capabilities into engineering or operational workflows.
• Strong scripting skills in Python, Linux/Shell, or similar technologies.
• Experience developing automation scripts for maintenance and support activities.
• Understanding of containerization and deployment technologies such as Docker and Kubernetes.
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• Ability to troubleshoot infrastructure, deployment, and production issues.
• Good understanding of security, access controls, and DevSecOps practices.
• Interest in evaluating emerging AI tools for developer productivity and operations.
• Ability to build scalable, reliable, and AI-enabled DevOps solutions.

Responsibilities

• Leverage Ai in Ci/CD , Dev Ops activities
• Background of working with Ai in teh domain ( Custyom AI bots ,Agents or Embbeded AI solutions )
• Good knowledge of Infrastructre management
• Setting up project s in cloud
• Creating CI / CD pipileines
• Monitoring and alerts in Obervability
• Creating Dashboards
• Automation scripts for maintainance and support ( Linux , Pythion scripts )

Skills

AI

Agentic AI

RAG

LLM

Python frameworks for AI

AWS

Cloud CI/CD

Observability

Python

Linux scripting

Containers (Kubernetes)

Tools

Docker

Kubernetes

Terraform

CloudFormation

AWS

Azure

GCP

Job description

Job Description

1. Strong experience in CI/CD, DevOps, and infrastructure automation.
2. Hands-on exposure to applying AI in DevOps and engineering workflows.
3. Experience with custom AI bots, AI agents, or embedded AI capabilities.
4. Good understanding of cloud infrastructure and environment management.
5. Experience setting up and managing projects on AWS, Azure, or GCP.
6. Hands-on experience designing and maintaining CI/CD pipelines.
7. Familiarity with Git-based development and deployment workflows.
8. Experience with infrastructure provisioning and configuration automation.
9. Strong knowledge of monitoring, logging, alerting, and observability.
10. Experience creating operational dashboards and health metrics.
11. Ability to identify DevOps activities suitable for AI-driven automation.
12. Experience integrating AI capabilities into engineering or operational workflows.
13. Strong scripting skills in Python, Linux/Shell, or similar technologies.
14. Experience developing automation scripts for maintenance and support activities.
15. Understanding of containerization and deployment technologies such as Docker and Kubernetes.
16. Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
17. Ability to troubleshoot infrastructure, deployment, and production issues.
18. Good understanding of security, access controls, and DevSecOps practices.
19. Interest in evaluating emerging AI tools for developer productivity and operations.
20. Ability to build scalable, reliable, and AI-enabled DevOps solutions.

Mandatory Skills

AI,Agentic AI,RAG,LLM,Python Frameworks for AI,AWS,Cloud CI/CD,Observability,Python,Linux Scripting,Containers (Kubernates )

Roles & Responsibilities

1. Leverage Ai in Ci/CD , Dev Ops activities
2. Background of working with Ai in teh domain ( Custyom AI bots ,Agents or Embbeded AI solutions )
3. Good knowledge of Infrastructre management
4. Setting up project s in cloud
5. Creating CI / CD pipileines
6. Monitoring and alerts in Obervability
7. Creating Dashboards
8. Automation scripts for maintainance and support ( Linux , Pythion scripts )