Senior Platform Engineer (Cloud / AI Adoption)
About TD SYNNEX :
We’re TD SYNNEX , a leading IT distributor and solutions aggregator for the IT ecosystem. We’re 23,000 of the IT industry’s best and brightest, who share an unwavering passion for bringing compelling technology products, services, and solutions to the world. We’re an innovative partner that helps our customers maximize the value of IT investments, demonstrate business outcomes, and unlock growth opportunities.
Role Overview
As a Senior Platform Engineer, you will build, operate, and continuously improve the multi-cloud infrastructure platform that our development teams rely on every day. This is a hands-on engineering role — you will spend most of your time writing Terraform, Ansible, and Python,Automationand more…notjustproducing architecture diagrams or reference designs.
You will work within an established platform direction set by our Architecture and Engineering Leadership, and your focus will be on implementing, automating, and operating the platform components that bring that direction to life.
We are looking for a builderand innovator mindsetwho enjoys turning patterns and standards into production-ready, well-automated infrastructure thatourdevelopersand customerslove to consume.
Key Responsibilities
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Build and maintain: Implement multi-cloud infrastructure (primarily Azure, with AWS where applicable) following established platform patterns and standards.
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Infrastructure as Code: Write, maintain, and refactor Terraform modules. Apply DRY principles across landscapes and contribute to our shared module library.
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Configuration automation: Develop Ansible playbooks, roles, and collections for OS-level configuration and zero-downtime deployments.
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Operate AI-ready services: Provision and operate the cognitive service environments (Azure AI Foundry, AWS Bedrock) that our application teams consume.
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CI/CD delivery: Build and maintain Azure DevOps pipelines for infrastructureplatformprovisioning and configuration management.
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Day-2 operations: Troubleshoot, patch, harden, and monitor platform components. You own the health of what you build.
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Collaboration: Work closely with Architects, Developers, and Operations to turn requirements and patterns into working code.
What This Role Is Not
To set clear expectations and avoid mismatched applications:
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This is not a Cloud Architect, Solution Architect, or Enterprise Architect role.
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You will not set the overall cloud strategy or produce high-level reference architectures.
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You will not lead multi-team design forums or own architectural governance.
If you are looking for an architecture role, this position will not be the right fit. If you arelooking forwardtospendingyour day building and automating, please read on.
Technical Requirements
1.Technology Platform.
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Azure: strong hands-on experience (required).
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AWS: working hands-on experience (good to have).
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GCP: working hands-on experience(isa plus).
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Linux administration: solid experience with RHEL, Debian, and Ubuntu(a plus)
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Windows hosts: comfortable managing them through automation.
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AI services (consumer side): comfortable provisioning, scaling, and supporting consumption of cognitive services such as Azure AI Foundry or AWS Bedrock. You operate these services for application teams — you are not expected to design AI/ML systems.
2. Infrastructure as Code & Automation
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Terraform: strong working knowledge of data structures, functions, workspaces, and module design. You write modules, not just consume them.
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Ansible: confident with playbooks, roles, and dynamic inventories. Exposure to Ansible Automation Platform (AWX / Tower) or RedHat Satellite is a plus.
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Scripting: fluency in Python, Bash, or PowerShell for day-to-day automation tasks.
3.WorkDelivery
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Azure DevOps: Pipelines, Boards, and Repos.
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GitOps: solid branching strategies, code reviews, and lifecycle management.
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Agile: