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.