Senior Platform Engineer (Multi-Cloud & AI Adoption)

Job description

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions. Senior Platform Engineer (Multi-Cloud & AI Adoption) As a Senior Platform Engineer , you are the technical architect of our Internal Developer Platform (IDP). You don't just manage cloud resources; you build the "Golden Paths" that allow developers to deploy and scale their own services autonomously. You will bridge the gap between complex infrastructure and developer productivity, with a specific focus on enabling multi-cloud agility and AI service adoption (Azure AI, AWS Bedrock). Your mission is to reduce the "cognitive load" on software teams by abstracting away infrastructure complexity through automation, self-service portals, and robust CI/CD. Key Responsibilities Platform as a Product: Treat the platform as a product for our internal developers. Gather feedback, identify bottlenecks, and build self-service tools that eliminate manual tickets. Infrastructure & AI Orchestration: Design and scale multi-cloud architectures (Azure, AWS, GCP). Specifically, architect the foundational infrastructure for AI/ML services (e.g., Azure AI Foundry, AWS Bedrock) to ensure they are secure and accessible. Automated "Golden Paths": Develop and maintain high-quality Terraform modules and Ansible playbooks that serve as the standard blueprints for the organization. Developer Empowerment: 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. CI/CD & GitOps: Modernize our delivery pipelines in Azure DevOps/GitHub, ensuring that infrastructure changes are version-controlled, tested, and deployed with zero downtime. Observability & Reliability: Implement "Self-Healing" infrastructure and advanced monitoring (Datadog, Prometheus, Grafana) so developers have full visibility into their own services. Strategic Collaboration: Act as a consultant to business units, challenging technical assumptions and translating high-level business needs into elegant, scalable technology execution. Technical Requirements 1. Multi-Cloud & AI Infrastructure Cloud Proficiency: Deep hands-on experience in Azure and GCP or AWZ ( 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. 2. Automation & IaC (Mastery Level) 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. 3. Delivery & Governance DevOps Tools: 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. Why is this role different: Unlike a traditional Sysadmin or DevOps role, this position focuses on abstraction . You aren't just building a server; you are building the capability for a developer to spin up a compliant, secure AI-ready environment with the click of a button. You will have the autonomy to build "greenfield" infrastructure and influence the cloud strategy of a forward-thinking organization. This role offers the unique opportunity to merge traditional Platform Engineering with the burgeoning field of AI Infrastructure Salary- USD 120K-150k @ HYVE Solutions , we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.