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Launch Potato, a digital media company, is seeking a Lead Backend Engineer to join their team. The role involves enabling Launch Potato’s Data Science team to scale machine learning innovation by supporting and deploying ML infrastructure across business-critical services. The engineer will maintain and improve backend services, troubleshoot production issues, and contribute to CI/CD workflows.

Responsibilities:

  • Deploying machine learning pipeline and endpoint changes.
  • Identifying and removing backend bottlenecks for the Data Science team.
  • Maintaining and improving backend services, focusing on reliability and performance.
  • Troubleshooting and resolving production issues.
  • Standing up and maintaining infrastructure using tools like Terraform, ECS, and Lambda.
  • Contributing to continuous deployment pipelines and improving CI/CD workflows.
  • Participating in code reviews and promoting best practices.
  • Delivering maintainable and testable code.
  • Suggesting engineering improvements based on knowledge of team workflows and LP’s product ecosystem.

Requirements:

  • 4+ years of professional development experience using Python and deploying backend systems using Python frameworks like Django or FastAPI.
  • Experience with containerized Python/Django (or FastAPI) services, including deployment on AWS.
  • Proven track record collaborating with Data Science teams and deploying ML endpoints to production.
  • Proficiency in troubleshooting production bugs in systems with limited QA support.
  • Strong grasp of SQL databases, CI/CD (especially CircleCI), and infrastructure as code (Terraform preferred).
  • Comfortable contributing ideas, giving peer feedback via pull requests, and driving technical improvements autonomously.

The role offers:

  • A base salary
  • Profit-sharing bonus
  • Competitive benefits
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Launch Potato