Principal Software Engineer

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

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

Pay Range

US Pay Ranges
$152,000—$190,000 USD

Skills Required
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
Expert-level proficiency in C#, .NET, and ASP.NET (MVC/Web APIs)
Strong experience building full-stack web applications (Angular, TypeScript, HTML, CSS)
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) into applications
Experience using Python and/or .NET alongside AI/LLM workflows
Familiarity with agent-based or workflow-driven AI architectures
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