Senior Engineer, Cloud AI and Data Platforms

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Serve as a consultative resource for application teams, offering technical advice, standards, process expertise, and tools for delivering products and services within multi-cloud environments.

• Develop Continuous Infrastructure Automation processes and tooling with guardrails for infrastructure provisioning and configuration.

• Create tools, scripts, and frameworks to enhance automation, monitoring, and management of extensive environments.

• Construct declarative provisioning and configuration templates for self-service provisioning.

• Develop templates for governance, compliance, and security-as-code.

• Design and implement automated multi-cloud deployment frameworks utilizing CI/CD.

• Architect, design, and construct VF’s AI and Data Platforms in Azure Databricks and Azure AI Foundry.

• Propel organizational transformation regarding AI and Data platforms in cloud environments.

• Oversee source code and build artifacts for the Continuous Infrastructure Automation platform.

• Implement, manage, and support multi-cloud platform tools, including CI/CD, SCM, artifact repositories, monitoring, observability, cost management, governance, and compliance tools.

• Guide team members and colleagues on cloud best practices, GitOps, and DevOps principles.

• Research, implement, and disseminate infrastructure-as-code solutions throughout the enterprise.

⛳️ Requirements

• Bachelor’s degree in Information Systems or equivalent experience in cloud platform engineering.

• Minimum of 5 years’ experience in designing, implementing, and supporting cloud-based infrastructure and platform services, including AWS and Azure.

• Extensive familiarity with public cloud offerings such as Amazon Web Services and Microsoft Azure.

• Capability to serve as a champion for a DevOps culture.

• Proficiency in rapidly iterating within an agile development process.

• Experience with CI/CD automation.

• Experience in building infrastructure automation using tools like Terraform, Packer, and Ansible.

• Knowledge of cloud-native engineering, including Kubernetes, containers, Docker, and serverless technologies.

• Familiarity with test-driven development frameworks for both application and infrastructure code.

• In-depth experience in network and system engineering, encompassing DNS, ADFS, HTTPS, firewalls, and L7 routing.

• Strong organizational and time-management abilities.

• Comprehensive understanding of ITIL, SDLC, DevOps, and agile processes and practices.

• Experience adhering to enterprise change and release management processes.

• DBA experience is preferred.

• Broad knowledge of SRE frameworks for monitoring golden signals and relevant tools.

• Exceptional problem-solving and troubleshooting capabilities.

• Availability for extended work hours, including participation in on-call rotations.

• Willingness to travel by air and stay overnight, up to 10%.

🏝️ Benefits

• Additional compensation opportunities may include an annual incentive plan, sales incentives, or commission potential.

• Reasonable accommodations for qualified individuals during the application process, as mandated by applicable law.