L3 AI Platform & IaC/DevOps Support Engineer | MWIDM | Pan India

Tech Junction Ltd; India; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

MWIDM Recruitment Division seeks an L3 AI Platform & IaC/DevOps Support Engineer for Pan India to own AI platform operations, IaC deployment, CI/CD orchestration, and incident management. You will manage Azure AI Foundry and Amazon Bedrock, automate provisioning with Terraform, Ansible and Jenkins, and ensure high availability and security baselines.

You will collaborate with cross‑functional cloud engineering, software development, and security squads in Agile sprints, perform RCA for critical

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or related discipline.
• Minimum of 8+ years of progressive professional experience in cloud operations, DevOps automation, and production support.
• Strong, demonstrable hands‑on professional expertise supporting enterprise AI platforms including Azure AI Foundry and/or Amazon Bedrock.
• Comprehensive working knowledge and practical proficiency in Infrastructure as Code utilizing Terraform and Ansible.
• Deep practical experience building and maintaining automated CI/CD release pipelines using Jenkins.
• Solid practical grasp of Azure and AWS cloud infrastructure, IAM, managed identities, private endpoints, and VPC endpoints.
• Proven expertise in L3 production support, incident management, root cause analysis (RCA), and cloud troubleshooting.
• Mandatory legal work eligibility and physical availability for professional operations across Pan India.

Responsibilities

• Manage, monitor, and provide L3 operational support for enterprise AI platform infrastructure across Azure and Amazon Web Services.
• Automate cloud infrastructure provisioning, configuration management, and deployment workflows using Terraform, Ansible, and Jenkins.
• Troubleshoot complex cloud infrastructure, multi-region networking, IAM policies, and private endpoint connectivity issues.
• Handle critical L3 production incidents, conduct thorough root cause analysis (RCA), and implement robust permanent fixes.
• Maintain secure, reliable, and highly available cloud environments adhering to enterprise security baselines and compliance standards.
• Configure and administer cloud monitoring, logging, and tracing stacks to ensure proactive system health oversight.
• Collaborate seamlessly with cross‑functional cloud engineering, software development, and security operations squads.
• Maintain comprehensive infrastructure documentation, deployment runbooks, and incident escalation audit logs.

Skills

Cloud operations

DevOps automation

L3 production support

Terraform

Ansible

Jenkins

Azure

AWS

Incident management

RCA

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Terraform

Ansible

Jenkins

Job description

Position Summary

Driving advanced L3 production support, cloud infrastructure automation, and enterprise AI platform operations across Pan India, MWIDM is actively seeking an accomplished L3 AI Platform & IaC/DevOps Support Engineer for a permanent professional engagement. In this vital cloud engineering role, you will architect, support, and secure high‑availability AI platform infrastructure across Azure and AWS, automate provisioning using Terraform, Ansible, and Jenkins, and resolve complex L3 incidents. Bringing 8+ years of progressive professional experience in cloud operations and DevOps automation, you will empower global enterprise systems to achieve uncompromised uptime, system resilience, and deployment velocity. This prestigious career opportunity offers competitive remuneration, high technical visibility, and exceptional professional growth within a premier global IT staffing and recruitment enterprise.

Detailed Job Description

As an L3 AI Platform & IaC/DevOps Support Engineer supporting MWIDM across Pan India, you will take full operational, architectural, and tactical ownership of AI platform support, infrastructure-as-code deployment, CI/CD pipeline orchestration, and rigorous incident management. Your day-to-day responsibilities include managing Azure AI Foundry and Amazon Bedrock environments, troubleshooting complex cloud infrastructure and network connectivity issues, handling L3 production incidents, conducting root cause analysis (RCA), and executing permanent fixes. You will operate in a collaborative enterprise environment while collaborating closely with cross‑functional software engineering, cloud architecture, and security squads in Agile sprint cycles. Furthermore, you will manage application requirements.

Key Responsibilities

• Manage, monitor, and provide L3 operational support for enterprise AI platform infrastructure across Azure and Amazon Web Services.
• Automate cloud infrastructure provisioning, configuration management, and deployment workflows using Terraform, Ansible, and Jenkins.
• Troubleshoot complex cloud infrastructure, multi-region networking, IAM policies, and private endpoint connectivity issues.
• Handle critical L3 production incidents, conduct thorough root cause analysis (RCA), and implement robust permanent fixes.
• Maintain secure, reliable, and highly available cloud environments adhering to enterprise security baselines and compliance standards.
• Configure and administer cloud monitoring, logging, and tracing stacks to ensure proactive system health oversight.
• Collaborate seamlessly with cross‑functional cloud engineering, software development, and security operations squads.
• Maintain comprehensive infrastructure documentation, deployment runbooks, and incident escalation audit logs.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or related discipline.
• Minimum of 8+ years of progressive professional experience in cloud operations, DevOps automation, and production support.
• Strong, demonstrable hands‑on professional expertise supporting enterprise AI platforms including Azure AI Foundry and/or Amazon Bedrock.
• Comprehensive working knowledge and practical proficiency in Infrastructure as Code utilizing Terraform and Ansible.
• Deep practical experience building and maintaining automated CI/CD release pipelines using Jenkins.
• Solid practical grasp of Azure and AWS cloud infrastructure, IAM, managed identities, private endpoints, and VPC endpoints.
• Proven expertise in L3 production support, incident management, root cause analysis (RCA), and cloud troubleshooting.
• Mandatory legal work eligibility and physical availability for professional operations across Pan India.

Nice-to-Have Skills

• Professional cloud certifications such as AWS Certified DevOps Engineer – Professional or Microsoft Certified: Azure DevOps Engineer Expert.
• Prior professional working experience in top‑tier IT staffing firms, global system integrators, or enterprise technology corporations.
• Hands‑on familiarity with container orchestration platforms (Kubernetes, Docker) and microservices deployment architectures.
• Experience utilizing enterprise project management and IT service management ticketing platforms such as Jira and ServiceNow.
• Exposure to advanced AI model deployment pipelines and MLOps operational frameworks.

Application Information

• Recruiter: MWIDM Recruitment Division
• Contact Name: Amisha Dhingra
• Email: [e-mail]
• Phone / WhatsApp: [phone]
• Company Website: https://www.mwidm.com
• Salary/Rate: Market Competitive / Enterprise Cloud Engineering Package
• Deadline: Open until filled (Urgent Pan India L3 AI Platform Support Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time Engagement (Pan India)