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Launch Potato is seeking a Lead Backend Engineer to join their team. This 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 Lead Backend Engineer will maintain and improve backend services, troubleshoot production issues, and contribute to continuous deployment pipelines.

Responsibilities:

  • Deploy machine learning pipeline and endpoint changes in partnership with the Data Science team.
  • Identify and remove backend bottlenecks.
  • Maintain and improve backend services, focusing on reliability and performance.
  • Troubleshoot and resolve production issues.
  • Stand up and maintain infrastructure using tools like Terraform, ECS, and Lambda in a containerized AWS environment.
  • 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 using frameworks like Django and tools such as Pytest.
  • Suggest engineering improvements based on knowledge of team workflows and Launch Potato’s product ecosystem.

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 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:

  • Opportunity to work in a profitable, high-growth company.
  • A diverse and inclusive team and culture.
  • A compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
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Launch Potato