Senior Software Engineer, AI Intelligence Platform

• Design, document, and drive architecture for key platform components focused on scalability, reliability, security, and business alignment
• Own complex initiatives from architecture and design through development, deployment, and iteration
• Translate ambiguous product goals into clear, scalable technical requirements
• Build a unified, trusted, high-quality source of Aura's data for intelligence generation
• Architect secure AI-agent access to sensitive data using least-privilege access, strong isolation, and enforceable privacy guarantees
• Build systems that turn intelligence into personalized insights and safety actions for customers and families
• Make and defend technology choices balancing scalability, cost, and operational simplicity
• Champion security, privacy, observability, testing, and operational excellence practices
• Mentor engineers on design challenges, performance tuning, and system reliability

• 5 - 8+ years of professional software engineering experience, with a track record of designing and shipping complex, large-scale distributed systems
• Deep experience owning systems end-to-end on complex projects, from architecture through production operation
• Strong knowledge of software design best practices, data structures, algorithms, and distributed-systems fundamentals
• In-depth knowledge of cloud technology and judgment to choose appropriate tools, including serverless functions, containerized services, relational and NoSQL databases, caches, queues, and data-processing pipelines
• Demonstrated experience building systems that handle sensitive or regulated data, with security and privacy as first-class design constraints
• Exceptional communication and collaboration skills, including explaining complex technical concepts to technical and non-technical stakeholders and building cross-team alignment
• Ability and desire to learn new technologies and move quickly in a fast-evolving AI landscape
• Bachelor's Degree in Computer Science or a related field, or equivalent work experience
• Preferred: experience building AI/LLM-powered systems in production, security/privacy engineering or trust & safety, large-scale data platforms, AWS, and Infrastructure as Code