Senior Engineer, Cloud AI and Data Platforms

VF Corporation•Greensboro, NC

23h•Hybrid

About The Position

The Sr. Engineer, Cloud AI and Data Platforms will be an integral member of VF’s Cloud Platform Engineering team. The Cloud Platform Engineering Team is a team of full-time cloud resources that will drive and guide cloud adoption across our organization. This team is responsible for the development and delivery of our Continuous Infrastructure Automation platform which will be leveraged across multiple cloud platforms. In addition to participating in the development of this platform, this role will provide consultative services to help Digital Technology teams take advantage of self-service infrastructure provisioning, configuration management & governance across multi-cloud platforms.

Requirements

Bachelor’s degree in Information Systems or equivalent experience in cloud platform engineering.
At least 5 years’ experience designing, implementing and supporting cloud-based infrastructure and platform services including AWS and Azure required.
Extensive experience with public cloud offerings such as Amazon Web Services, Microsoft Azure.
Must be able to act as a champion for a DevOps culture.
Ability to iterate quickly in an agile development process.
Excited to learn new technologies and evaluate technologies to problems.
Experience in CI/CD automation.
Experience building infrastructure automation (orchestration, provisioning and configuration) using tools such as Terraform, Packer, Ansible, etc.
Experience with Cloud Native engineering (K8s, Containers, Docker, Serverless, etc.).
Experience with test-driven development frameworks for application and infrastructure code.
In-depth network and system engineering experiences including DNS, ADFS, HTTPS, Firewalls, L7 routing.
Ability to multi-task, be a strong team player, and have strong organizational skills and time management skills.
Strong knowledge of ITIL, SDLC, DevOps and agile processes and practices.
Experience following enterprise change and release management processes.
Broad knowledge of SRE framework for monitoring golden signals and applicable tools.
Must possess excellent problem-solving skills and an ability to find, troubleshoot, and resolve issues using whatever outside resources (i.e. research) are required.

Nice To Haves

DBA experience preferred.

Responsibilities

Act as a consultative resource for our application teams to provide technical guidance, standards, knowledge and understanding of processes, and tools to deliver products and services in multi-cloud.
Build CIA process automation and tooling to implement guardrails in a way that empowers our application teams to help themselves for their infrastructure provisioning and configuration needs.
Develop tools, scripts and frameworks of moderate complexity that drive efficiency in automation, monitoring and management of large-scale environments.
Build declarative provisioning & configuration templates to facilitate self-service provisioning.
Build governance, compliance & security as code templates to facilitate on the side governance.
Design and build automated deployment frameworks (CI/CD) for multi-cloud.
Architect, design, and build VF’s AI and Data Platforms in Azure Databricks and Azure AI Foundry.
Become the change agent for the organization in all matters regarding AI and Data platforms in our Cloud Environments.
Manage source code and build artifacts for Continuous Infrastructure Automation platform.
Implement, manage & support tools for managing multi-cloud platforms.
CI/CD, SCM and artifact repository tools.
Monitoring and observability tools.
Cost Management tools.
Governance & Compliance tools.
Mentor team members and co-workers on cloud best practices, GitOps & DevOps principles & practices.
Resident cloud infrastructure subject matter expert researching, implementing and communicating Infrastructure-as-code solutions across the enterprise.