Launch Potato, a digital media company, is seeking a Lead Backend Engineer to join their team. The 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 engineer will maintain and improve backend services, troubleshoot production issues, and contribute to CI/CD workflows.
Responsibilities:
- Deploying machine learning pipeline and endpoint changes.
- Identifying and removing backend bottlenecks for the Data Science team.
- Maintaining and improving backend services, focusing on reliability and performance.
- Troubleshooting and resolving production issues.
- Standing up and maintaining infrastructure using tools like Terraform, ECS, and Lambda.
- Contributing to continuous deployment pipelines and improving CI/CD workflows.
- Participating in code reviews and promoting best practices.
- Delivering maintainable and testable code.
- Suggesting engineering improvements based on knowledge of team workflows and LP’s product ecosystem.
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.
The role offers:
- A base salary
- Profit-sharing bonus
- Competitive benefits