Job Description
• Help architect and build Carterra's next-generation cloud-native analysis platform.
• Convert a desktop-based scientific application into a cloud platform.
• Build rule-based automation that reduces hours of manual data curation currently performed by PhD scientists.
• Work closely with scientists, engineering, and product teams.
• Design the foundation for future AI and machine learning capabilities.
• Support Phase 1 rule-based automation while preparing the platform for future AI-powered predictions.
• Influence product and technical direction.
• Mentor engineers and elevate engineering best practices.
• Build scalable APIs, cloud services, and AI-enabled product capabilities.
Participate in testing, validation, and product launch activities.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Must-Haves
• 5+ years software engineering experience
• Strong C# / .NET background
• Cloud architecture experience (Azure, AWS, or GCP)
• Experience building scalable cloud-native applications
• Rule-based systems experience
• Machine Learning (ML) experience
• Agentic AI / AI-assisted development experience
• Experience integrating AI or LLM capabilities into products
• Experience guiding architecture and technical direction
Hands-on development background
Nice to Have Skills & Experience
Plusses
• LangChain
• Semantic Kernel
• MCP
• Scientific software experience
• Biotechnology / Life Sciences experience
• Data visualization experience
• Platform modernization experience
• Front-end experience (TypeScript, modern web frameworks)
Experience building products from the ground up
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.