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Launch Potato is seeking a Lead Backend Engineer to enable their Data Science team to scale machine learning innovation by supporting and deploying ML infrastructure across business-critical services. The ideal candidate will have experience with containerized Python/Django (or FastAPI) services, and a proven track record collaborating with Data Science teams.

Responsibilities:
  • Deploy machine learning pipeline and endpoint changes.
  • Identify and remove backend bottlenecks.
  • Maintain and improve backend services.
  • Troubleshoot and resolve production issues.
  • Stand up and maintain infrastructure using tools like Terraform, ECS, and Lambda.
  • Contribute to continuous deployment pipelines and improve CI/CD workflows using tools like CircleCI.
  • Participate in and lead thoughtful code reviews.
  • Deliver maintainable and testable code.
  • Proactively suggest engineering improvements or inefficiencies.

Requirements:
  • 4+ years of professional development experience using Python.
  • 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.
  • 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.

Company offers:
  • Base salary
  • Profit-sharing bonus
  • Competitive benefits
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Launch Potato