QQuantori is hiringLead Full-Stack Software Engineer

We are looking for a pragmatic and proactive Lead Software engineer who is ready to drive the early development phase of a new product. This role goes beyond writing code - it requires someone who is comfortable exploring different technical approaches, weighing trade-offs, and laying the foundation of a scalable architecture. If you’re a strong engineer with a strategic mindset, who enjoys building from scratch and shaping solutions rather than just implementing specs, we want to hear from you.

Responsibilities:

• Lead the technical design and development of a greenfield product
• Evaluate different tools and approaches, and make informed architecture and stack decisions
• Collaborate closely with data scientists, product managers, and designers
• Write clean, maintainable, and efficient code in Python and JavaScript (React)
• Build scalable and secure solutions using AWS cloud services
• Ensure adherence to software engineering best practices and maintain high code quality
• Contribute to building the engineering culture and development processes from the ground up

What we expect:

• Deep expertise in Python, especially in backend and data-driven applications
• Good working experience with JavaScript (React or similar frameworks)
• Experience with cloud infrastructure, preferably AWS
• Ability to analyze and compare different technology options (tools, databases, frameworks)
• Solid grasp of algorithms, data structures, and system design principles
• Prior experience leading a development team and guiding delivery
• Willingness to act as a solution architect, even if the title isn’t formal
• Ability to translate abstract business goals into concrete, scalable technical solutions
• Strong communication and collaboration skills
• Fluency in English, both spoken and written
• Availability to work East Coast hours (GMT-4), at least until 17:00 ET during initial months

Nice to have:

• Experience working with Tableau or similar data visualization tools
• Familiarity with Snowflake
• Background in life sciences or neuroscience projects
• Experience designing systems for laboratory or medical data workflows
• Basic familiarity with relational and NoSQL databases (MongoDB, SQL, Oracle)

We offer:

• Competitive compensation
• Remote work
• Flexible working hours
• Work with a highly skilled and collaborative engineering team
• Opportunity to contribute to impactful, real-world healthcare solutions