Full-Stack Platform Engineer

Condor is a high-growth company focused on building financial intelligence infrastructure for the biopharma industry. The Full-Stack Platform Engineer will design and implement backend services and collaborate with cross-functional teams to enhance the platform's capabilities.

Responsibilities:

• Design, implement, test, and deploy backend services, APIs, and platform components that power Condor’s financial cloud
• Build and maintain platform infrastructure with a serverless architecture
• Collaborate with AI/ML engineering and product teams to design backend interfaces that integrate with LLM-based agents, retrieval systems, and automated reasoning workflows
• Build backend logic to support complex workflows related to clinical trial accounting, financial forecasting, and budgeting
• Build frontend components and interfaces as needed to support full-stack feature delivery, using React
• Investigate and resolve complex production issues, performing root cause analysis and recommending and implementing long-term architectural improvements
• Write clean, maintainable, well-tested code following internal development standards and best practices
• Participate in architectural discussions and technical planning, contributing to platform evolution and scalability strategies
• Mentor team members on backend best practices, system design, and technical excellence

Requirements:

• Minimum of 5 years of software engineering experience with strong emphasis on backend development
• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
• Proven track record of building and scaling backend systems, APIs, and data-intensive applications
• Deep expertise in at least one backend programming language (Python preferred, but others, such as Go, are acceptable) and associated frameworks (Django, Flask, etc)
• Understanding of full-stack development including frontend frameworks, though backend is the primary focus
• Strong proficiency in Python and experience with Django or Flask
• Experience with TypeScript and React for full-stack feature development
• Hands-on experience integrating backend services with LLM-based systems (OpenAI, Anthropic Claude, or similar AI platforms)
• Experience building agentic AI workflows or AI-powered automation features