Lead Software Engineer, Nuna Incorporated

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of professional experience in software engineering, with a recent focus on backend development and scaling and testing of Distributed Systems
• Extensive experience in designing, developing, and deploying scalable backend systems and APIs using modern programming languages such as Java, Kotlin, Python, Go or equivalent
• Proficiency in working with cloud platforms such as AWS, Google Cloud, or Azure, and leveraging cloud-based services for deploying and managing backend infrastructure
• Experience leading large scale projects and being tech lead for junior engineers
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions and drive innovation
• Excellent communication skills and the ability to work effectively in a fast-paced, collaborative environment
• Experience with containerization and orchestration technologies such as Docker and Kubernetes

Desirable

• As one of the first engineers on the Rewards ML/AI team, you will be crafting an innovative new mobile experience that will redefine the boundaries of health and wellness. Our mission is to improve health outcomes for patients using technology
• You will leverage the latest AI advancements to solve real-world health problems. You will gain a profound understanding of the intricacies of the US health system
• You'll join a ground floor effort to build products that engage patients in activities that dramatically improve health outcomes. Come join our dynamic team and become a pioneer at the nexus of healthcare, mobile, and AI
• Collaborate with cross-functional teams including product managers, designers, front-end engineers, and data scientists to conceptualize, develop, and deploy AI-driven features and enhancements for our consumer mobile app
• Design, architect, and implement scalable backend systems and APIs that support AI-powered functionality, ensuring high performance, reliability, and security
• Optimize AI algorithms and models for efficiency, accuracy, scalability, and safety, leveraging best practices and emerging technologies in the field
• Integrate machine learning models, algorithms, and data pipelines into the backend infrastructure to enable intelligent decision-making and personalized user experiences
• Conduct thorough testing, debugging, and performance tuning of backend systems to identify and address issues and bottlenecks in a timely manner
• Stay abreast of industry trends, advancements, and emerging technologies in AI, machine learning, and backend development, and evaluate their potential impact on our product roadmap
• Mentor and provide technical guidance to junior engineers, fostering a culture of innovation, collaboration, and continuous learning within the team