Senior Engineer (Backend/Full-stack) for AI-native VentureOS for VCs

This Senior Engineer role requires extensive experience in backend and full-stack development, ideally within AI-native platforms or venture operating systems tailored for venture capital environments. The candidate should possess strong proficiency in backend technologies, including server-side programming languages such as Python, Java, or Node.js, and frameworks that support scalable, secure, and high-performance APIs and microservices. Experience with full-stack development implies familiarity with frontend technologies like React, Angular, or Vue.js, enabling seamless integration between user interfaces and backend systems. Given the AI-native context, expertise in integrating AI and machine learning models into production environments, understanding of data pipelines, and working knowledge of AI frameworks or platforms are essential. The role demands a senior-level engineer capable of designing robust architectures, optimizing system performance, and leading technical initiatives. Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) is likely important for deployment and scalability. Strong skills in database design and management, both SQL and NoSQL, are expected to handle complex data requirements. Additionally, familiarity with version control systems, CI/CD pipelines, and agile development methodologies will support efficient and collaborative software delivery. The candidate should demonstrate problem-solving abilities, code quality best practices, and a proactive approach to innovation within the venture capital technology domain.