Senior Platform Engineer (Multi-Cloud & AI Adoption)

Hyve Solutions
Fremont, CA, United States
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$120,000 - $150,000
Working hours
Regular working hours

Tech stack

Microsoft Windows Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell Ubuntu (Operating System) Cloud Computing Configuration Management Continuous Integration Data Structures Linux DevOps
+19 more
Github Python (Programming Language) Windows PowerShell Red Hat Enterprise Linux Ansible Prometheus Azure Machine Learning Software Engineering AI Infrastructure Datadog Scripting Google Cloud Grafana Multi-Agent Systems Multi-Cloud Technical Debt Terraform Ansible Tower Api Management

Job description

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions., * 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 β€œGolden 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 β€œSelf-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.

Requirements

Artificial Intelligence (AI), Software Engineering, Cloud Computing, Artificial Intelligence (AI), Software Engineering, Cloud Computing, Amazon Web Services (AWS), Microsoft Windows Azure, Resource Management, Adoption, 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., * 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.
  1. 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 & β€œPort-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 β€œAgentic” engineering where AI and automation handle routine operational tasks.

Benefits & conditions

You will have the autonomy to build β€œgreenfield” 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

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