Walkin Drive For Devops Engineer(AI) at Bangalore on 12th August 25

Exclusive

Greeting from Infosys BPM Ltd.,

You are kindly invited for the Infosys BPM:: Walk-In Drive on

Note:

https://career.infosys.com/jobdesc?jobReferenceCode=PROGEN-HRODIRECT-206442

Interview Information:

• Interview

  Date: 12 August 2025

• Interview Time: 9 AM till 12 PM

Interview Venue - Bangalore::

Infosys BPM Limited, #785,Ground Floor Axis Sai Jyoti, 15th Cross 100 Feet Road,Sarakki,1st Phase JP Nagar, Bengaluru, Karnataka560078

Landmark: Near Sindhoor Convention Centre

Note:

Documents to Carry:

• Please carry 2 set of updated CV (Hard Copy).

• Please carry Face Mask**.

• Mandatory to carry PAN or Passport for Identity proof.

Job Title: DevOps Engineer AI CoE (Cloud Platform: Azure/AWS/GCP)

Experience: 2-3yrs

About the Role:

AI Center of Excellence (CoE)

Key Responsibilities:

• Collaborate with AI product teams to design and maintain CI/CD pipelines for AI/ML models and applications.
• Automate infrastructure provisioning using tools like

  Terraform

  ,

  ARM templates

  , or

  CloudFormation

  .
• Support containerization and orchestration of AI services using

  Docker

  and

  Kubernetes

  .
• Monitor and optimize cloud infrastructure performance across

  Azure

  ,

  AWS

  , or

  GCP

  .
• Implement logging, monitoring, and alerting solutions to ensure system reliability and observability.
• Assist in managing secure, scalable, and cost-effective cloud environments for AI workloads.
• Contribute to internal DevOps best practices and documentation within the AI CoE.

Required Skills & Qualifications:

• 2-3 years of hands-on experience in DevOps or Cloud Engineering.
• Exposure to at least one major cloud platform:

  Azure

  ,

  AWS

  , or

  GCP

  .
• Familiarity with CI/CD tools such as

  GitHub Actions

  ,

  Azure DevOps

  ,

  GitLab CI

  , or

  Jenkins

  .
• Basic scripting skills in

  Python

  ,

  Bash

  , or

  PowerShell

  .
• Understanding of containerization and orchestration concepts.
• Strong collaboration and communication skills, especially in cross-functional teams.

Preferred Qualifications:

• Exposure to AI/ML model deployment or MLOps workflows.
• Experience with Infrastructure as Code (IaC) and configuration management tools.
• Cloud certifications (e.g., AZ-104, AWS Certified Developer, GCP Associate Cloud Engineer).
• Familiarity with Agile/Scrum methodologies.

What Youll Gain:

• Opportunity to work on cutting-edge AI products and platforms.
• Mentorship from senior architects and DevOps leaders.
• Exposure to enterprise-grade AI deployment pipelines and cloud-native architectures.
• A collaborative, innovation-driven environment within the AI CoE.

Regards,

Infosys BPM Recruitment team