Staff Software Engineer

Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. They are seeking a highly skilled Staff Software Engineer to lead the design and development of software solutions that enable real-time access to health data for their members.

Responsibilities:

• Lead the design and development of sophisticated software solutions, ensuring that they are scalable, robust, and maintainable. Your role will involve actively coding while managing the team, exemplifying the balance between strategic oversight and hands-on contribution. Your expertise will guide the creation of systems that stand the test of time and scale
• Engage in meaningful collaboration with cross-functional teams, providing technical leadership and ensuring clarity in all engineering decisions. Your ability to bridge technical and non-technical domains will be critical for our collective success
• Drive high-impact projects from conception to delivery, aligning closely with Function’s strategic objectives. Your leadership will ensure that projects not only meet but exceed our goals
• Tackle and resolve complex technical challenges, setting a benchmark for engineering excellence across the team. Your problem-solving skills will contribute to the continuous improvement of our platform
• Stay at the forefront of emerging technologies and trends, and apply this knowledge innovatively to our platform. Your curiosity and drive to innovate will help shape the future of healthcare technology at Function

Requirements:

• Proven Experience: At least 12 years of proven experience in software engineering, with a significant portion in a leadership capacity within a startup environment
• Passion for Healthcare Innovation: A deep-seated passion for leveraging technology to enhance healthcare and empower individuals in managing their health
• Software Development Expertise: Extensive experience in software development, with proficiency in Python
• Cloud and Containerization Proficiency: Familiarity with cloud platforms (AWS, Google Cloud) and containerization technologies (Docker)
• Engineering Principles: A strong understanding of software engineering principles and practices, including Agile methodologies, test-driven development (TDD), and continuous integration/continuous deployment (CI/CD)
• Large-Scale System Development: Experience in building and maintaining large-scale systems
• Problem-Solving Skills: Excellent problem-solving abilities, with a knack for understanding and simplifying complex systems
• Remote Work Compatibility: Comfort with remote work and a track record of effectiveness in a collaborative, distributed team environment
• Commitment to Learning: A continuous learner, open to questioning assumptions and dedicated to innovation
• Bias Toward Action: Demonstrated ability to take initiative, make decisions under uncertainty, and move projects forward even in the face of ambiguity
• Entrepreneurial Spirit: Strong adaptability to changing business needs with a knack for building and optimizing processes
• Communication: Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders
• Remote Work Adaptability: Comfort with remote work environments, demonstrating the ability to stay productive and connected with the team irrespective of physical location
• Continuous Improvement: A willingness to question assumptions and a commitment to continuous improvement
• Data Engineering Background: A solid background in Data Engineering, demonstrating your expertise in managing, processing, and analyzing large data sets to drive decisions and innovations
• Technical Proficiency: Advanced skills in a range of technologies, including Python for backend development, React and React Native for frontend and mobile app development, GCP for cloud services, and Postgres for database management
• Machine Learning Deployment: Experience in building and deploying machine learning services, showcasing your ability to leverage AI and machine learning to solve complex problems and enhance our platform's intelligence and user personalization
• Start-Up Experience: We highly value individuals with start-up experience, especially former founders or early engineering hires
• Familiarity with Health Technologies: Knowledge of or experience with popular health technologies, such as Oura, Whoop, Apple Watch, and CGMs (Continuous Glucose Monitors)