Senior Software Engineer

eClinical Solutions is transforming clinical development with elluminate®, their Clinical Data Cloud, aimed at helping life sciences organizations unify and analyze their data. As a Senior Software Engineer, you will design and develop core modules for the elluminate platform, focusing on integrating AI capabilities and ensuring high-quality software through all phases of the development lifecycle.

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
• Diagnoses and resolves 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

Requirements:

• Bachelor's or Master's degree in Computer Science or equivalent practical experience preferred
• Expert-level proficiency in C#, .NET, and ASP.NET (MVC/Web APIs)
• 3-5 years of experience in software design and development using the Microsoft technology stack
• 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
• 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