Software Engineer, Consultant

Location:  This position may be performed remotely, but requires the flexibility and willingness to travel as needed. The Opportunity Praxis Precision Medicines is building a strong pipeline of Software Engineering talent to support the continued evolution of our eDiary and clinical data platforms. Engineers in this role will first contribute to and grow within our eDiary ecosystem—a regulated, patient-facing platform used across our Epilepsy portfolio. Our engineers work across modern web and mobile applications, secure clinical data platforms, cloud infrastructure, distributed system architectures, API design, auditability frameworks, identity and access control systems, and production observability. When you apply to this position, your profile will be considered for current and future Software Engineer openings supporting the eDiary platform and adjacent clinical systems.   Primary Responsibilities Design, develop, and maintain reliable, production-grade code across frontend, backend, and data layers, implementing software solutions that meet clinical, operational, and regulatory requirements Deploy and operate services in a cloud environment (AWS preferred) and contribute to architecture and design reviews with a focus on reliability, scalability, and security Debug and resolve production issues across distributed and asynchronous workflows; diagnose performance bottlenecks; and own incident response, including root cause analysis and durable fixes that prevent recurrence Collaborate with QA, Clinical Operations, Clinical Development, Product, and IT stakeholders to translate requirements into validated releases Design APIs and data models that preserve audit trails, version history, and system traceability; and improve system observability through structured logging, monitoring, and alerting Uphold high standards for data integrity, security, and regulatory compliance across all systems   Qualifications and Key Success Factors Bachelor’s degree in Software Engineering or equivalent practical experience 3+ years of non-internship professional software development experience, with demonstrated ability to design, build, and operate production software systems end-to-end Demonstrated experience using AI-assisted development tools (e.g., code generation, automated testing, debugging copilots) to improve engineering productivity and code quality, with ability to critically evaluate AI-generated outputs for correctness, security, and maintainability Strong foundation in software engineering fundamentals: data structures and algorithms, API and interface design, relational data modeling and transactional integrity, and separation of concerns Demonstrated ability to debug complex issues across multiple layers (client, API, database, infrastructure) and trace issues in distributed or asynchronous systems using logs, metrics, and instrumentation Experience deploying and operating applications in a cloud environment (any major provide...