Tech Lead Platform Engineer - AI & ML Ops

SaaS company transforming supply chain with rebate management software, secured $276M in Series A-D funding since 2016.
DevOps
Staff Software Engineer
Remote
8+ years of experience
AI · Enterprise SaaS

Description For Tech Lead Platform Engineer - AI & ML Ops

Enable is revolutionizing the supply chain industry with their innovative rebate management software platform. After securing $276M in funding across Series A-D rounds, they're rapidly expanding their operations and seeking a Tech Lead Platform Engineer to spearhead their AI & MLOps initiatives. This role combines traditional platform engineering with cutting-edge AI/ML infrastructure development, making it perfect for someone who wants to work at the intersection of cloud architecture and machine learning operations.

The position offers a unique opportunity to architect and optimize a cloud-native platform while building robust MLOps capabilities. You'll be responsible for designing scalable AI/ML pipelines, implementing Infrastructure-as-Code practices, and ensuring system reliability across a complex SaaS environment. The role requires deep expertise in cloud technologies, containerization, and modern DevOps practices, with a focus on both technical excellence and team leadership.

Enable offers a comprehensive benefits package including equity, healthcare, retirement plans, and various lifestyle perks. The company culture emphasizes professional growth, with access to training resources and opportunities to mentor others. Working at Enable means joining a rapidly growing company that's transforming how businesses manage rebates while building next-generation technology infrastructure.

This role is ideal for an experienced platform engineer who wants to work with cutting-edge technologies, lead technical initiatives, and make a significant impact on a growing SaaS platform. The remote work option provides flexibility, while the focus on both platform engineering and MLOps offers a diverse and challenging technical environment.

Last updated 22 days ago

Responsibilities For Tech Lead Platform Engineer - AI & ML Ops

  • Design, build, and optimize cloud-native, multi-tenant SaaS platform
  • Develop and maintain core infrastructure components including compute, networking, observability, and CI/CD pipelines
  • Architect and manage scalable AI/ML pipelines for model training, deployment, and monitoring
  • Implement and refine Infrastructure-as-Code practices
  • Build self-healing, automated monitoring solutions
  • Mentor junior and mid-level engineers
  • Partner with security teams for compliance
  • Define and document platform engineering best practices

Requirements For Tech Lead Platform Engineer - AI & ML Ops

Python
Kubernetes
  • 8+ years of experience in platform, DevOps, or cloud engineering
  • Bachelor's degree in Computer Science, Engineering, 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
  • Strong programming skills in Python, SQL, and Bash
  • Deep understanding of SaaS security principles

Benefits For Tech Lead Platform Engineer - AI & ML Ops

Medical Insurance
401k
Equity
Education Budget
  • Comprehensive health and life coverage
  • Retirement savings plan
  • Lucrative bonus plan
  • Equity program with additional options
  • Free food and drinks on-site
  • Professional training and workshops
  • Pet-friendly offices
  • Quarterly wellness benefit
  • Paid Time Off

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