Senior Software Engineer, Personalization

Key Responsibilities

• Lead the productionalization of personalization and classification algorithms
• Build with data and analytics in mind to ensure continued accuracy and relevance of personalization, classification, and ranking algorithms
• Translate experimental outputs (from AWS Sagemaker/Personalize) into production-ready systems, ensuring efficiency and reproducibility
• Demonstrate full stack experience with specialization in backend or infrastructure while contributing to broader projects
• Collaborate on architecture and technical decisions that influence the direction of the platform, ensuring scalability, performance, and user-focused improvements
• Design and maintain model-serving infrastructure, including APIs, batch pipelines, or streaming systems required to deploy ML models reliably
• Focus on performance optimization and system reliability, especially as user base grows
• Drive experimentation with MVPs, balancing rapid iteration with long-term sustainable growth and developer experience
• Provide mentorship to engineers, fostering a culture of growth and collaboration

Requirements

• 5+ years of experience leading complex technical projects with significant business impact
• Experience integrating LLM or ML outputs into core product features
• Strong specialization in backend or infrastructure systems while maintaining broad knowledge of the full stack
• Proficiency in IaC, AWS, Java, Python, Typescript with experience in backend systems
• Experience with scalability, performance optimization, and building tools that support data-driven decision-making
• Strong problem-solving skills and a passion for creating products that connect people in the real world
• Ability to lead initiatives, mentor others, and communicate effectively across technical and non-technical teams