Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.The company is headquartered invibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners.MUST HAVE: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.EXPERIENCE: 4+ years of professional development experience using Python and deploying backend systems using Python frameworks like Django or FastAPI.YOUR ROLEEnable Launch Potato’s Data Science team to scale machine learning innovation by supporting and deploying ML infrastructure across business-critical services.Outcomes (Performance Expectations):ML Deployment & SupportDeploy 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.Service Ownership & Technical ExecutionMaintain 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.Infrastructure & DevOps EnablementStand 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.Code Quality & Team CollaborationParticipate 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.Product Awareness & ImpactApproach 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.Collaborative: Open to feedback, communicates clearly across functions, and adds value through shared knowledge (especially during pull request reviews).Curious & Proactive: Suggests improvements in tooling, deployment, or infrastructure and thinks beyond assigned tasks.Detail-Oriented: Writes maintainable, testable code with a strong grasp of debugging principles and Python design patterns.Execution-Driven: Manages time effectively, prioritizes impact, and consistently meets engineering goals without micromanagement.Growth Mindset: Seeks to understand LP’s products and business context to make informed backend decisions and support data-driven goals.TOTAL COMPENSATIONBase 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.Want to make your impact in a profitable, high-growth company? Apply now!Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.Apply for this job*indicates a required fieldFirst Name *Last Name *Email *Phone *Resume/CV *Enter manuallyAccepted file types: pdf, doc, docx, txt, rtfEnter manuallyAccepted file types: pdf, doc, docx, txt, rtfEducationSchool Select...Degree Select...Select...Select...Start date yearEnd date month Select...End date yearWhat is your preferred name? *Any name you want to use other than your legal name. For example, you may wish to shorten your first name (e.g. Steven to Steve) or to be referred to by your middle name or a nickname.Where are you located? *Please provide city, state, and country.Share your LinkedIn profile, portfolio, or personal website. *How much Python development experience do you have? * Select...Which of the following frameworks are you completely comfortable with? *DjangoFastAPI / StarliteFlaskCherrypySelect all that apply:What types of databases are you fully comfortable working with? *Relational (SQL)NoSQLTimeseriesVectorSelect all that apply:How would you rate your experience with AWS? * Select...Have you been individually responsible for deploying containerized solutions? * Select...Have you directly supported data science or machine learning teams/projects? * Select...Are you able to independently troubleshoot production bugs? * Select...Do you have hands on QA experience with PyTest or other QA testing tools? * Select...Describe a recent open source contribution that you are proud of. *Please provide any links if applicable.What is your desired annual base salary (USD) for this full-time, remote position? *U.S. Standard Demographic QuestionsWe invite applicants to share their demographic background to identify areas of improvement in our hiring process. 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