Senior Engineer, Cloud AI and Data Platforms

VF Corporation•Greensboro, NC
•$104,000 - $130,000

About The Position

The Senior Engineer, Cloud AI and Data Platforms is an integral member of VF’s Cloud Platform Engineering team, which drives and guides cloud adoption across the organization and develops and delivers a Continuous Infrastructure Automation platform for use across multiple cloud platforms. The role helps Digital Technology teams adopt self-service infrastructure provisioning, configuration management, and governance across multi-cloud environments. The engineer provides consultative guidance to application teams and develops automation, tools, scripts, and frameworks for infrastructure provisioning, configuration, monitoring, and management. The role also architects, designs, and builds VF’s AI and data platforms in Azure Databricks and Azure AI Foundry, and serves as a change agent and subject matter expert for AI, data, and cloud infrastructure platforms. The position includes managing source code and build artifacts, implementing and supporting multi-cloud platform tools, and mentoring colleagues in cloud best practices, GitOps, and DevOps. The role requires at least five years of relevant experience designing, implementing, and supporting cloud infrastructure and platform services, including AWS and Azure. The position may involve extended work hours and on-call rotations, physical activity including lifting or carrying more than 20 pounds, and approximately 10% air and overnight travel.

Requirements

  • At least five years of experience designing, implementing, and supporting cloud-based infrastructure and platform services, including AWS and Azure.
  • Bachelor’s degree in Information Systems or equivalent experience in cloud platform engineering.
  • Extensive experience with public cloud offerings such as Amazon Web Services and Microsoft Azure.
  • Ability to champion a DevOps culture.
  • Ability to iterate quickly in an agile development process.
  • Willingness to learn new technologies and evaluate technologies to solve problems.
  • Experience with CI/CD automation.
  • Experience building infrastructure automation—including orchestration, provisioning, and configuration—using tools such as Terraform, Packer, and Ansible.
  • Experience with cloud-native engineering, including Kubernetes, containers, Docker, and serverless technologies.
  • Experience with test-driven development frameworks for application and infrastructure code.
  • In-depth network and systems engineering experience, including DNS, ADFS, HTTPS, firewalls, and Layer 7 routing.
  • Ability to multitask, work effectively as a team member, and demonstrate strong organizational and time-management skills.
  • Strong knowledge of ITIL, SDLC, DevOps, and agile processes and practices.
  • Experience following enterprise change and release management processes.
  • Excellent problem-solving skills and ability to find, troubleshoot, and resolve issues using available resources, including research.
  • Ability to meet the role’s physical requirements, including prolonged sitting, standing, and lifting, carrying, pushing, or pulling more than 20 pounds.
  • Ability to work extended hours and participate in on-call rotations as required.
  • Ability to travel by air and stay overnight; travel is approximately 10%.

Nice To Haves

  • Database administration (DBA) experience.
  • Broad knowledge of the SRE framework for monitoring golden signals and applicable tools.

Responsibilities

  • Provide application teams with technical guidance, standards, process knowledge, and tools for delivering products and services in multi-cloud environments.
  • Build Continuous Infrastructure Automation processes and tooling, including guardrails that enable application teams to manage infrastructure provisioning and configuration.
  • Develop tools, scripts, and moderately complex frameworks that improve automation, monitoring, and management of large-scale environments.
  • Build declarative provisioning and configuration templates for self-service provisioning.
  • Build governance, compliance, and security-as-code templates.
  • Design and build automated multi-cloud deployment frameworks using CI/CD.
  • Architect, design, and build VF’s AI and data platforms in Azure Databricks and Azure AI Foundry.
  • Drive organizational change related to AI and data platforms in cloud environments.
  • Manage source code and build artifacts for the Continuous Infrastructure Automation platform.
  • Implement, manage, and support tools for multi-cloud platforms, including CI/CD, source control and artifact repositories, monitoring and observability, cost management, and governance and compliance tools.
  • Mentor team members and coworkers on cloud best practices and GitOps and DevOps principles and practices.
  • Serve as a cloud infrastructure subject matter expert, researching, implementing, and communicating infrastructure-as-code solutions across the enterprise.
  • Participate in on-call rotations as required.

Benefits

  • Additional compensation awards may include an annual incentive plan, sales incentive, or commission potential.
  • VF provides employee benefit programs; details are provided during the hiring process.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service