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. The successful candidate will support and deploy ML infrastructure across business-critical services.

Role Involves:

• Deploying machine learning pipelines and endpoint changes in partnership with the Data Science team.
• Identifying and removing backend bottlenecks that limit the Data Science team’s ability to experiment and deploy new models.
• Maintaining and improving backend services with a focus on reliability, performance, and clarity of ownership.
• Troubleshooting and resolving production issues across Launch Potato services.
• Standing up and maintaining infrastructure using tools like Terraform, ECS, and Lambda in a containerized AWS environment.
• Contributing to continuous deployment pipelines and improving CI/CD workflows using tools like CircleCI.
• Participating in and leading thoughtful code reviews.
• Delivering maintainable and testable code using frameworks like Django and tools such as Pytest.
• Proactively suggesting 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.

What role offers:

• Base salary.
• Profit-sharing bonus.
• Competitive benefits.