Senior Software Engineer, Platform

Your Next Challenge

• Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
• Contribute to dashboards and tools for evaluating data quality and model precision
• Scale our systems in a cost-effective and sustainable manner and be a driving force behind continuous improvements in reliability and automation
• Improve team velocity through contributions to software design, feature development, platform and framework enhancements, capacity planning, and deployment tooling
• Help set and maintain best practices in how we measure, monitor, and respond to system availability, latency, and general application health
• Engage in the entire software development lifecycle, from ideation and design to implementation and testing to deployment and operational support, with a strong sense of ownership for results
• Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment
• Communicate effectively across engineering, product, and research teams to align priorities and drive projects to completion

What You’ll Need

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education
• Strong Python engineering skills, with experience building production services and developer-facing tools
• Experience with cloud infrastructure (AWS, GCP, or similar), containerization, and deployment automation
• Solid understanding of integrating AI-powered capabilities into applications, including agent workflows, memory management, and external tool integrations
• Experience with analytics and observability tools like Datadog or similar for monitoring performance, system health, and reliability
• Familiarity with designing APIs, SDKs, or frameworks that other engineers build on top of
• Strong communication skills and a sense of ownership for results

Compensation: Base salary range $126,000 - $189,000, plus generous bonus plans.