Principal Software Engineer

About eClinical Solutions

eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes.

Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you’re excited about building sophisticated software that makes a real-world impact on healthcare, this is the place to do it.

You will make an impact:

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.

This role is ideal for an experienced engineer who enjoys hands-on development, mentoring others, and bringing modern capabilities—including AI-assisted and agentic workflows—into production-grade systems.

Your day to day:

• 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

AI & Modern Engineering Focus

We’re actively incorporating AI-powered capabilities into our platform, and you’ll help shape how this is done responsibly and effectively in an enterprise environment. This includes:

• Integrating LLMs and AI services into.NET- and Python-based systems
• Designing and implementing AI-assisted workflows, copilots, or intelligent automation features
• Working with agentic AI patterns (e.g., task orchestration, tool-using agents, workflow automation)
• Applying prompt engineering, evaluation techniques, and guardrails to ensure reliability and compliance
• Collaborating with data and platform teams to operationalize AI—not just prototype it

Deep ML expertise is not required—we’re looking for strong engineers who understand how to apply AI capabilities in real products.

Take the first step toward your dream career. Here is what we are looking for in this role.

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

AI & Platform Experience

• 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

AI Use Statement

Employees are expected to appropriately leverage company-approved AI tools to improve productivity and quality while adhering to company policies, protecting confidential information, validating AI-generated content, and exercising sound professional judgment. AI is intended to augment—not replace—professional judgment, critical thinking, accountability, and decision-making. Accountability for all work remains with the employee.

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!