Senior Platform Engineer; Multi-Cloud & AI Adoption

Senior Platform Engineer (Multi-Cloud & AI Adoption) page is loaded## Senior Platform Engineer (Multi-Cloud & AI Adoption) locations:
Fremont, CAtime type:
Full time posted on:
Posted 14 Days Agojob requisition :
R49117**@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 & Git Ops:
** Modernize our delivery pipelines in Azure Dev Ops/Git Hub, 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 Red Hat Satellite for enterprise-scale configuration.
* ** Scripting:
** Fluency in
** Python**, Bash, or Power Shell for custom automation and API integrations.
** 3. Delivery & Governance**
* ** Dev Ops Tools:
** Advanced use of
** Azure Dev Ops** (Pipelines, Repos, Boards) and Git Hub 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.
*…