
Healthcare Insurance • Artificial Intelligence • Wellness
Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.
June 18
AWS
Azure
Cloud
Distributed Systems
Django
Docker
Flask
Google Cloud Platform
Kafka
Kubernetes
Microservices
NoSQL
Python
RabbitMQ
SQL

Healthcare Insurance • Artificial Intelligence • Wellness
Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.
• Architect, design, and build backend systems that transform our internal AI technology into a scalable, market-ready product; • Externalize our technology with a focus on reliability, performance, and real-world usability; • Work side-by-side with the AI team to turn cutting-edge research into enterprise-ready solutions; • Design and optimize APIs, database schemas, and data processing workflows that seamlessly integrate with our AI/ML pipelines; • Develop backend architectures that enable the efficient deployment of machine learning models in production; • Work closely with the AI and Data teams to design backend architectures that enable the effective deployment of machine learning models at scale; • Collaborate with the Product, Data, and Engineering teams to define technical requirements and deliver features that enhance our users’ experience and overall system performance; • Identify performance bottlenecks and scale our systems as our user base and data complexity grow; • Drive key technical decisions on infrastructure, tools, and best practices in a fast-moving, collaborative environment; • Mentor junior engineers, promote best practices, and advocate for a high standard of code quality and testing.
• 5+ years of professional experience in backend engineering, with a focus on building scalable systems and services; • Proficiency in Python as the primary language for our ML-powered systems, with hands-on experience in Python-based frameworks and libraries. If you’re not yet proficient but are highly motivated to learn, we’d love to hear from you as well! We value a strong willingness to grow and adapt; • While Python will be at the heart of most of your work, you’ll also be involved in integrating with various external systems and services, which may require working with other technology stacks. We’re looking for someone who’s comfortable adapting and learning new tools as needed to drive these integrations; • Solid experience working with databases (SQL and NoSQL) and optimizing complex queries and transactions; • Proven experience in building and maintaining high-performance APIs; • Strong understanding of software design patterns, microservices architecture, and cloud-native applications; • Ability to work in a fast-paced, agile environment while handling multiple technical priorities and collaborating effectively across teams; • Excellent problem-solving skills with an ability to break down complex tasks into manageable components.
• Health, dental and vision insurance • Meal allowance • Equity shares • Remote work allowance • Flexible working hours • Work from home • Discretionary vacation • Snacks and beverages • English class
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