Principal Software Engineer

About the role

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