Tech Lead Platform Engineer - AI & ML Ops - Remote

Overview

We are seeking a Tech Lead Platform Engineer – AI & MLOps to drive the evolution of Enable’s cloud-native platform, ensuring scalability, reliability, and efficiency across all aspects of our SaaS infrastructure.

In Short

• Design, build, and optimize a cloud-native, multi-tenant SaaS platform.
• Develop and maintain core infrastructure components.
• Implement best practices for cloud cost optimization and security.
• Architect and manage scalable AI/ML pipelines.
• Collaborate with data scientists and ML engineers.
• Implement Infrastructure-as-Code practices using Terraform or Pulumi.
• Build automated monitoring solutions for system health.
• Mentor junior engineers and foster a culture of technical excellence.
• Ensure compliance with SaaS security standards.
• Enhance API gateways and service orchestration.

Requirements

• 8+ years of experience in platform, DevOps, or cloud engineering.
• Bachelor’s degree in Computer Science or related field.
• Expertise in cloud-native applications on AWS, GCP, or Azure.
• Strong experience with Kubernetes and container orchestration.
• Proficiency in Infrastructure-as-Code and CI/CD tools.
• Experience in distributed systems and service mesh technologies.
• Hands-on experience with databases ensuring high availability.
• Strong programming skills in Python, SQL, and Bash.
• Familiarity with MLOps frameworks and ML model operationalization.

Benefits

• Opportunity to work on cutting-edge AI and MLOps challenges.
• Collaborate with top-tier professionals in the industry.
• Participate in a culture of continuous learning and technical excellence.
• Be part of a rapidly growing company with significant funding.
• Flexible work environment and potential for career advancement.