Lead Backend Engineer at Launch Potato

Launch Potato is seeking a Lead Backend Engineer to join their team. This role is based in La Plata, Argentina and is remote. The Lead Backend Engineer will enable Launch Potato’s Data Science team to scale machine learning innovation by supporting and deploying ML infrastructure across business-critical services. He/she will be responsible for maintaining and improving backend services, troubleshooting production issues, and contributing to continuous deployment pipelines.Responsibilities:

• Deploy machine learning pipeline and endpoint changes in partnership with the Data Science team, ensuring scalable, production-grade integrations.
• Identify and remove backend bottlenecks that limit the Data Science team’s ability to experiment, iterate, and deploy new models.
• Maintain and improve backend services owned by the team, with a focus on reliability, performance, and clarity of ownership.
• Troubleshoot, debug, and resolve production issues across LP services, even without a dedicated QA team.
• 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 that enable knowledge sharing and promote best practices. Deliver maintainable and testable code using frameworks like Django and tools such as Pytest, while fostering a culture of shared responsibility and mentorship.
• Approach projects with a product-oriented mindset—understanding how backend systems connect to user-facing goals and company OKRs.
• Proactively suggest engineering improvements or inefficiencies based on your 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:

• Being part of Launch Potato's digital media company.
• A compensation package that includes a base salary, profit-sharing bonus, and competitive benefits.