Senior Software Engineer, Consumer

Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. They are seeking a driven Senior Software Engineer to help eliminate the financial complexity of healthcare by designing and building robust, scalable applications while collaborating across teams.

Responsibilities:

• Design and build robust, scalable applications using Python, Django, and modern frontend web technologies
• Work autonomously on complex assignments requiring specialist contribution and cross-team collaboration
• Execute and adapt established processes to achieve technical objectives with minimal guidance
• Write effective, scalable, testable code across full-stack applications (Python/Django, PostgreSQL, JavaScript/Vue)
• Facilitate technical conversations and proactively communicate status and impact to avoid blockers
• Support and guide teammates in understanding technical concepts and established processes
• Iterate quickly with an eye towards value

Requirements:

• 5-7+ years work experience in Python, or strong experience in another programming language with some Python exposure
• Expertise in at least one popular Python web framework (preferably Django) or similar web framework in another language
• Strong understanding of SQL and how to efficiently use databases to solve complex problems
• Solid experience with JavaScript, and one or more modern JS frameworks like Vue or React
• Experience working with APIs, data pipelines, and complex system architectures
• Ability to work effectively with minimal guidance on complex, non-routine problems
• Strong written and verbal communication skills with ability to explain technical concepts clearly
• Proven ability to facilitate conversations, listen actively, and work effectively in remote environments
• Entrepreneurial mindset: you can problem solve independently while collaborating effectively across teams
• Bachelor's degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
• Healthcare domain experience or understanding of healthcare data and pricing models
• AI/ML experience, particularly with emerging patterns like RAG and Agentic Workflows
• Experience with data analysis tools like Pandas, NumPy, or similar for large dataset analysis
• DevOps experience with deployment pipelines, infrastructure as code, or monitoring systems
• Experience working on open-source projects