Senior Back-End Engineer, MLOps – Real Estate

• Build and maintain full-stack features across marketplace products, including search, ranking, and user-facing experiences
• Develop and support MLOps infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring
• Collaborate with data scientists and engineers to bring machine learning models into production reliably and at scale
• Write clean, well-tested, maintainable code and participate in code reviews
• Contribute to technical planning and break down complex problems into well-scoped, executable tasks
• Identify and resolve performance, reliability, and scalability issues across existing systems
• Work with data and feature pipelines, SQL, and experimentation/A/B testing frameworks
• Communicate progress clearly, surface blockers early, and collaborate with distributed teams across time zones

• 5+ years of professional software engineering experience, with strong backend or full-stack development experience
• Strong backend development skills and proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript
• Hands-on experience with MLOps or production machine learning systems, including Vertex AI, MLflow, Kubeflow, or equivalent
• Experience with feature stores, ideally Chalk or a comparable technology
• Strong SQL skills and experience working with data and feature pipelines
• Experience with GCP, AWS, or Azure, with GCP preferred
• Solid understanding of machine learning concepts and model deployment
• Strong debugging skills, ownership mindset, and excellent communication
• Ability to collaborate with cross-functional teams and colleagues across different time zones
• Experience with search, ranking, recommendation systems, real-time systems, or performance/latency optimization is a strong plus
• Experience in online marketplaces, mentoring engineers, frontend development, A/B testing, or AI-assisted development tools is a plus
• Ability to work remotely from Latin America, as indicated by the required application question asking whether the applicant is currently based in Latin America

• 100% Remote Work
• Highly Competitive USD Pay
• Paid Time Off
• Work with Autonomy
• Work with Top American Companies
• Engagement activities supporting well-being and work-life balance
• Access to a diverse, global network of 600+ professionals in 25+ countries
• Collaboration with seasoned senior talent