Lead Backend Engineer at Launch Potato

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 Lead Backend Engineer will collaborate with Data Science teams and deploy ML endpoints to production.

Role Involves:

• Deploying machine learning pipeline and endpoint changes in partnership with the Data Science team, ensuring scalable, production-grade integrations.
• Maintaining and improving backend services, with a focus on reliability, performance, and clarity of ownership.
• Troubleshooting, debugging, and resolving production issues across services.
• Standing up and maintaining infrastructure using tools like Terraform, ECS, and Lambda in a containerized AWS environment.
• Participating in and leading code reviews that enable knowledge sharing and promote best practices.
• Delivering maintainable and testable code using frameworks like Django and tools such as Pytest.
• Proactively suggesting engineering improvements or inefficiencies based on knowledge of team workflows and LP’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.

What Launch Potato offers:

• A compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
• Opportunity to contribute ideas, give peer feedback via pull requests, and drive technical improvements autonomously.