Description

You will design, build, and maintain scalable production software and cloud infrastructure, serving as the system integrator for APIs, SDKs, and automation across advanced data and AI/ML capabilities.

This role is remote.

Responsibilities

• Lead multi-disciplinary efforts to bring advanced AI/ML, GenOps, and MLOps capabilities into production software and cloud engineering.
• Design, write, test, and deploy production-quality, automated, scalable, and observable software using CI/CD best practices.
• Maintain high-level and low-level technical system views, coordinating with subject matter experts to ensure end-to-end support.
• Mentor early and mid-career team members, supporting their growth to senior and lead roles.
• Build and maintain user documentation and advise technical support teams.

Required Skills

• University degree or equivalent experience with minimum 12 years of relevant experience, or Advanced Degree with 10+ years.
• Minimum 5 years of experience with Kubernetes (K8s) and Terraform.
• Minimum 5 years of experience with Python and the Python scientific stack.
• Minimum 5 years of experience with the Software Development Life Cycle and product development.
• Strong background in data science and machine learning.

Preferred Skills

• Experience with cloud computing platforms (AWS and/or Azure).
• Experience building products using Large Language Models (LLMs) and LLM APIs.
• Technical leadership experience, such as engineering lead for a program or large project.

Key Skills

Education

Any Graduate