Principal Software Engineer

About the role

As a Principal Full Stack Software Engineer, you will be a technical leader within the elluminate Product Development team. You’ll help design and build the core services and user experiences of a next-generation clinical data and analytics platform—while influencing architecture, engineering standards, and technical direction.

Responsibilities

• Design, develop, test, and deploy scalable, secure, and highly interactive web applications
• Own and evolve core platform modules, from concept through release and support
• Influence application and system architecture with a focus on performance, reliability, security, and maintainability
• Lead by example through clean, well-tested code, thoughtful design reviews, and pragmatic technical decisions
• Collaborate closely with Product Management, QA, and other engineers throughout the SDLC
• Provide technical mentorship and guidance to other engineers on the team
• Diagnose and resolve complex production issues across distributed systems
• Ensure solutions meet eClinical Solutions quality standards and applicable industry regulations
• Contribute to technical documentation including design specs, acceptance criteria, and release notes

Qualifications

• Bachelor’s or Master’s degree in Computer Science or equivalent practical experience
• 10+ years in software design and development using the Microsoft technology stack preferred
• Expert-level proficiency in C#, .NET, and ASP.NET (MVC/Web APIs)
• Strong experience building full-stack web applications (Angular, TypeScript, HTML, CSS)
• Solid understanding of software design principles, patterns, and best practices
• Experience across the full Software Development Lifecycle (Agile preferred)
• Proven ability to work independently while collaborating effectively in a fast-paced environment
• Excellent communication, documentation, and technical leadership skills
• Hands-on experience integrating LLM-based services (e.g., OpenAI, Azure OpenAI, or similar) into applications
• Experience using Python and/or .NET alongside AI/LLM workflows
• Familiarity with agent-based or workflow-driven AI architectures is a strong plus
• Understanding of secure and responsible AI usage in enterprise systems

Nice to Have

• Strong SQL expertise (Microsoft SQL Server preferred), including performance tuning
• Experience with microservices, distributed systems, and cloud platforms (AWS preferred)
• Secure development experience, including awareness of common vulnerabilities and mitigations
• Experience with clinical trial data, life sciences, or regulated SaaS environments
• Experience building data visualizations or analytics-driven user experiences