AI Platform & IaC/DevOps Support Engineer

Role: L3 AI Platform & IaC/DevOps Support Engineer

Location: PAN INDIA (At client's office location)

Exp. : 8+ year

Employment Type: Full-time (Fixed-term)

JOB DESCRIPTION

Azure AI Foundry | Amazon Bedrock | Terraform | Ansible | Jenkins

Role Purpose

Provide L3 operational support for clients Azure AI Foundry and Amazon Bedrock platform infrastructure. The role owns complex incident resolution, secure cloud connectivity, AI service provisioning automation, infrastructure orchestration, observability, and the reliability of deployment pipelines across clients existing cloud landing zones.

MANDATORY: Hands-on AI platform infrastructure support across Azure AI Foundry and/or Amazon Bedrock

Key Responsibilities

A. Mandatory Skill: AI Platform Infrastructure

• Provision and maintain the cloud infrastructure required for Azure AI Foundry and Amazon Bedrock by using reusable Terraform Infrastructure as Code templates.
• Leverage, maintain, and enhance automation scripts to streamline AI service provisioning and operational infrastructure support activities.
• Configure Azure managed identities and AWS IAM execution roles, including role mapping for compute services and controlled access through VPC endpoints or Azure private endpoints.
• Troubleshoot complex cloud infrastructure issues affecting connectivity, secure service access, availability, and performance of AI platform services.
• Enable and maintain cloud-native monitoring, logging, alerting, and observability for AI platform service health checks and operational diagnostics.
• Investigate L3 incidents, perform root cause analysis, implement permanent fixes, and update operational runbooks and known-error records.

B. Secondary Skill: IaC/DevOps

• Deploy and configure cloud infrastructure pipelines by using Terraform, Ansible, and Jenkins for infrastructure orchestration and automation.
• Perform configuration management for in-scope cloud-native IaaS, CaaS, and PaaS services.
• Orchestrate cloud infrastructure services and provision resources on client's existing Azure and AWS cloud landing zones.
• Monitor infrastructure pipelines during deployment, diagnose failed stages, resolve configuration or dependency issues, and support controlled recovery.
• Maintain reusable IaC modules, playbooks, pipeline code, configuration standards, and version-controlled deployment artefacts.
• Apply change, release, incident, problem, and knowledge-management processes for production infrastructure support.

Required Technical Competencies

Competency

Expected L3 Capability

AI cloud platforms

Strong operational knowledge of Azure AI Foundry and/or Amazon Bedrock infrastructure, secure access patterns, service dependencies, health monitoring, and troubleshooting.

Infrastructure as Code

Advanced hands-on experience with Terraform modules, state management, variables, provider configuration, code review, and controlled deployment practices.

Automation & CI/CD

Hands-on experience with Ansible playbooks and Jenkins pipelines for repeatable infrastructure deployment, configuration, validation, and recovery.

Identity & network access

Azure managed identities, AWS IAM roles and policies, execution-role mapping, private endpoints, VPC endpoints, DNS, routing, security groups, and network security controls.

Observability

Cloud-native metrics, logs, alerts, dashboards, health checks, monitoring integrations, and evidence-driven troubleshooting.

L3 operations

Complex incident resolution, RCA, problem management, change execution, performance troubleshooting, documentation, and stakeholder communication.

Experience & Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline, or equivalent professional experience.
• Demonstrated experience in L3 cloud infrastructure or platform operations within a large enterprise environment.
• Hands-on production support experience across Azure and/or AWS, with strong troubleshooting skills spanning identity, connectivity, automation, performance, and observability.
• Ability to work within established security, compliance, change, and operational governance requirements.
• Strong documentation, analytical, collaboration, and stakeholder communication skills.

Preferred Certifications

Track

Preferred Certifications

AI

Microsoft Certified: Azure AI Engineer Associate; AWS Certified AI Practitioner; AWS Certified Machine Learning Engineer Associate.

DevOps

Microsoft Certified: DevOps Engineer Expert; AWS Certified DevOps Engineer Professional.

IaC

HashiCorp Certified: Terraform Associate, desirable as an additional certification.

Success Measures

• Stable and secure AI platform infrastructure with effective monitoring and timely recovery from service-impacting incidents.
• Reliable, repeatable, and auditable infrastructure provisioning through approved Terraform, Ansible, and Jenkins automation.
• Reduced recurrence of incidents through rigorous root cause analysis, permanent remediation, and maintained operational documentation.
• Adherence to Client landing-zone standards, security controls, change processes, and service-management requirements.