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Senior Cloud Architect, AI/ML Platform Development

2 months ago

Wilmington, North Carolina, United States ZipRecruiter Full time
About the Role

We are seeking a highly skilled Senior Cloud Architect, AI/ML Platform Development to join our team at ZipRecruiter. As a key member of our AI/ML Platform Engineering team, you will be responsible for designing and developing cutting-edge cloud-based technologies to drive business growth and innovation.

Key Responsibilities
  • Advise cross-functional teams on technology selection to achieve target state architecture and make informed decisions on improvements to current technologies.
  • Develop multi-year roadmaps aligned with business and architecture strategy and priorities.
  • Create complex and scalable coding frameworks using appropriate software design principles.
  • Develop secure and high-quality production code, and review and debug code written by others.
  • Serve as the function's go-to subject matter expert on cloud architecture, AI/ML, and data analytics.
  • Contribute to the development of technical methods in specialized fields in line with the latest product development methodologies.
  • Create durable, reusable software frameworks that improve velocity and quality of output across teams and functions.
  • Champion the firm's culture of equity and respect.
Requirements
  • Formal training or certification on software engineering concepts and 10+ years of applied experience.
  • Hands-on practical experience delivering system and platform design, application development, testing, and operational stability.
  • Expertise in one or more programming languages like Python/Java.
  • Deep knowledge in broader AWS services with specialization in AI/ML and Data Analytics suite of services in AWS and Kubernetes.
  • Well-established and rounded grounding in Access management concepts including OIDC & federation and brokering.
  • Advanced knowledge of software architecture, application development, and technical processes with considerable in-depth knowledge in one or more technical disciplines inside the domains of cloud architecture, artificial intelligence, machine learning, MLOps.
  • Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines.
  • Ability to present and effectively communicate to Senior Leaders and Executives.
Preferred Qualifications
  • Azure and OpenAI knowledge.
  • Professional Level certifications in AWS/Azure/Kubernetes.