Senior Platform Engineer (Multi-Cloud & AI Adoption)

Key Responsibilities

• Treat the platform as a product for our internal developers.
• Gather feedback, identify bottlenecks, and build self-service tools that eliminate manual tickets.
• Design and scale multi-cloud architectures (Azure, AWS, GCP).
• Architect the foundational infrastructure for AI/ML services (e.g., Azure AI Foundry, AWS Bedrock) to ensure they are secure and accessible.
• Develop and maintain high-quality Terraform modules and Ansible playbooks that serve as the standard blueprints for the organization.
• Build and integrate with Internal Developer Portals (like Port or Backstage) to provide a single pane of glass for service catalogs, scorecards, and automated resource provisioning.
• Modernize our delivery pipelines in Azure DevOps/GitHub, ensuring that infrastructure changes are version-controlled, tested, and deployed with zero downtime.
• Implement "Self-Healing" infrastructure and advanced monitoring (Datadog, Prometheus, Grafana) so developers have full visibility into their own services.
• Act as a consultant to business units, challenging technical assumptions and translating high-level business needs into elegant, scalable technology execution.

Technical Requirements

• Cloud Proficiency: Deep hands-on experience in Azure and GCP or AWS (GCP is a plus).
• AI Stack: Hands-on experience deploying and managing cognitive services (Azure AI Foundry, AWS Bedrock, or Vertex AI).
• Systems: Strong Linux (RHEL, Ubuntu) and Windows Host administration via automated configuration management.
• Automation & IaC (Mastery Level): Mastery of Terraform data structures, functions, and state management. Experience building versioned, reusable modules from scratch.
• Terraform: Advanced knowledge of Terraform data structures, functions, and state management. Experience building versioned, reusable modules from scratch.
• Ansible: Mastery of Playbooks, Roles, Collections, and Dynamic Inventories. Experience with Ansible Tower or RedHat Satellite for enterprise-scale configuration.
• Scripting: Fluency in Python, Bash, or PowerShell for custom automation and API integrations.
• Delivery & Governance: Advanced use of Azure DevOps (Pipelines, Repos, Boards) and GitHub Actions.
• Security & Compliance: Ability to bake security (Azure Policies, Custom Roles, Encryption) directly into the IaC templates and platform workflows.

Soft Skills & "Port-Inspired" Mindset

• User-Centricity: You view developers or businesses as your customers. You are passionate about improving Developer Experience (DX).
• Analytical Depth: Ability to decompose high-level information into modular tasks and distinguish a user's request from their true underlying need.
• Continuous Improvement: A drive to eliminate technical debt and move toward "Agentic" engineering where AI and automation handle routine operational tasks.