Backend Engineer

5 days ago

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Launch Potato

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Launch Potato is South Florida's fastest growing digital media company, founded by a group of young and ambitious individuals with a history of building successful direct-to-consumer digital businesses. Headquartered in Delray Beach, FL, Launch Potato operates with a distributed global team. The company focuses on solving complex problems with smart marketing, great engineering, data science, and fun, emphasizing its commitment to innovation and scalability.

digital marketing • mobile marketing • direct marketing • community building • performance marketing

51 - 200 employees

Founded 2015

📱 Media

👥 B2C

📋 Description

• Enable Launch Potato’s Data Science team to scale machine learning innovation by supporting and deploying ML infrastructure across business-critical services. • 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

• 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.

🏖️ Benefits

• Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. • Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. • Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.