Launch Potato is seeking a Lead Backend Engineer to enable their Data Science team to scale machine learning innovation. The Lead Backend Engineer will be responsible for supporting and deploying ML infrastructure across business-critical services.
Responsibilities include:
- Deploying machine learning pipeline and endpoint changes in partnership with the Data Science team.
- Maintaining and improving backend services owned by the team.
- Troubleshooting, debugging, and resolving production issues.
- Standing up and maintaining infrastructure using tools like Terraform, ECS, and Lambda.
- Participating in and leading thoughtful code reviews.
- Delivering maintainable and testable code.
- Proactively suggesting engineering improvements or inefficiencies.
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.
Launch Potato offers:
- A compensation package includes a base salary, profit-sharing bonus, and competitive benefits.
- Opportunity to work in a profitable, high-growth company.