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T
TEKsystems
Cloud Platforms Engineer
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What they do
A Platform Engineer is responsible for the development of platforms that support the needs and use cases of different engineering teams across the organization. Creates reusable tools and workflows to streamline operational needs and facilitate automation tasks, supporting scalability of DevOps practices.
$126,856 / year median in the U.S.
Job Description
Cloud Platforms Engineer TEKsystems $35.00 - $50.00 / hr life insurance, sick time, 401(k), retirement plan United States, Wisconsin, Oshkosh Aug 26, 2026
- Description
- Our client is looking for 2 Azure Cloud Platform Engineers for 6 month contracts.
Client Job Description:
The Cloud Platforms Engineer is responsible for designing, deploying, securing, and supporting Microsoft Azure cloud platform services with a focus on Artificial Intelligence (AI), Generative AI (GenAI), Machine Learning (ML), and Azure AI solutions. This role partners with business stakeholders, application teams, data teams, security teams, and infrastructure teams to deliver scalable, secure, and governed AI capabilities that accelerate innovation and business value. The engineer will build and maintain Azure AI platforms including Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Azure AI Search, Cognitive Services, and the supporting Azure infrastructure components required to run enterprise AI workloads reliably. Focus includes on a day to day:Platform Architecture & Engineering:
Design and deploy Azure platform capabilities for AI workloads.Security & Governance:
Implement secure identity, access, data protection, and responsible AI controls.Automation & IaC :
Use repeatable deployment patterns, CI/CD, and infrastructure as code.AI Service Enablement :
Enable business and technology teams to consume Azure AI services safely.Operations & Support:
Monitor, troubleshoot, optimize, and manage lifecycle of cloud and AI services. Key Responsibilities Azure AI Platform Engineering- Design, deploy, and support enterprise AI platforms using Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Machine Learning, and Azure Cognitive Services.
- Implement reusable AI platform patterns, reference architectures, and landing-zone aligned deployment models.
- Build scalable environments for AI experimentation, development, testing, and production workloads.
- Enable secure AI integration with enterprise applications, data sources, and business processes.
- Evaluate new Microsoft AI capabilities and recommend practical adoption roadmaps. Cloud Architecture & Solution Deployment
- Design and deploy secure Azure cloud solutions that support AI and intelligent automation workloads.
- Build and manage Azure infrastructure including networking, storage, compute, containers, databases, and platform services.
- Implement high availability, resiliency, backup, and disaster recovery capabilities for cloud platform services.
- Create architecture documentation, technical designs, deployment standards, and operational patterns. Automation & Platform Operations
- Develop Infrastructure as Code solutions using Terraform, Bicep, ARM templates, JSON, and automation scripts.
- Automate AI service deployment, governance controls, configuration standards, and repeatable operational processes.
- Implement CI/CD pipelines using Azure DevOps or GitHub Actions for cloud and AI platform workloads.
- Manage platform monitoring, observability, alerting, dashboards, and reliability practices. Security & Governance
- Implement Azure security best practices including RBAC, Entra ID, Conditional Access, PIM, Key Vault, encryption, and managed identities.
- Establish AI governance controls, responsible AI practices, model usage monitoring, data protection, and lifecycle controls.
- Ensure Azure AI services meet enterprise security, privacy, compliance, and regulatory requirements.
- Participate in risk assessments, security reviews, remediation planning, and control validation. AI Operations & Lifecycle Management
- Support AI solution deployment, monitoring, optimization, and lifecycle management.
- Implement usage tracking, capacity management, cost monitoring, quota management, and performance reporting.
- Troubleshoot platform, connectivity, identity, AI service, and integration issues.
- Continuously improve runbooks, standards, and operational support models. Business & Technical Collaboration
- Translate business requirements into secure, scalable, supportable cloud and AI technical solutions.
- Collaborate with solution architects, developers, data engineers, cybersecurity teams, business stakeholders, and infrastructure teams.
- Provide technical leadership and guidance for enterprise AI adoption initiatives.
- Mentor team members and promote cloud platform, AI governance, and operational best practices.
- Skills
- Cloud, Windows, Azure, Microsoft, Cloud Engineer, Administration, AI Foundry, support, active directory
- Top Skills Details
- Cloud,Windows,Azure,Microsoft,Cloud Engineer,Administration,AI Foundry,support,active directory
- Additional Skills & Qualifications
Microsoft Certified:
Azure Administrator Associate or equivalent experience.
Microsoft Certified:
Azure Solutions Architect Expert or equivalent architecture experience.- Azure AI Engineer knowledge or hands-on experience with Azure AI solution design, deployment, integration, monitoring, and maintenance.
- Experience implementing RAG patterns, AI agents, chatbots, document intelligence, or enterprise knowledge mining solutions.
- Experience with enterprise AI governance, responsible AI principles, and cloud compliance frameworks.
- Experience with FinOps, cloud cost optimization, and global multi-region Azure environments.
- Job Type & Location
- This is a Contract position based out of Oshkosh, WI.
- Pay and Benefits
- The pay range for this position is $35.
- Medical, dental & vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life & AD&D for the employee and dependents)
- Short and long-term disability
- Health Spending Account (HSA)
- Transportation benefits
- Employee Assistance Program
- Time Off/Leave (PTO, Vacation or Sick Leave)
- Workplace Type
- This is a fully remote position.
- Application Deadline
- This position is anticipated to close on Sep 1, 2026.
San Francisco Fair Chance Ordinance:
- Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector:
- It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
- Use of Artificial Intelligence (AI):
- We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates.