AI Platform & IaC/DevOps Support Engineer

• 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.

• 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.

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.

• 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.

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.

• 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 s landing-zone standards, security controls, change processes, and service-management requirements.