
Healthcare Insurance • Wellness • SaaS
Vida Health is a company committed to improving health outcomes for various physical and mental health conditions, including diabetes, obesity, depression, and hypertension. They offer personalized, human-led care combined with digital technology to manage and treat these complex conditions. Vida Health partners with employers, health plans, and consultants to provide comprehensive health solutions. Their services include video chats and text-based messaging with healthcare providers, and they utilize machine learning and synced devices to personalize member care. They focus on significant cost savings and improved health outcomes for cardiometabolic conditions, guaranteeing results and offering up to 100% of fees at risk for both physical and mental healthcare.
October 9
🇺🇸 United States – Remote
💵 $100k - $110k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
🔙 Backend Engineer
🦅 H1B Visa Sponsor
AWS
Cloud
Distributed Systems
Django
Docker
Google Cloud Platform
GraphQL
Kubernetes
Postgres
Prometheus
Python
SQL

Healthcare Insurance • Wellness • SaaS
Vida Health is a company committed to improving health outcomes for various physical and mental health conditions, including diabetes, obesity, depression, and hypertension. They offer personalized, human-led care combined with digital technology to manage and treat these complex conditions. Vida Health partners with employers, health plans, and consultants to provide comprehensive health solutions. Their services include video chats and text-based messaging with healthcare providers, and they utilize machine learning and synced devices to personalize member care. They focus on significant cost savings and improved health outcomes for cardiometabolic conditions, guaranteeing results and offering up to 100% of fees at risk for both physical and mental healthcare.
• Build, document and maintain APIs that power Vida’s web, mobile and internal tools. • Design and optimize backend systems that run in Kubernetes on Google Cloud Platform (GCP). • Collaborate with engineers across disciplines to design and implement scalable, reliable services. • Develop database models and schemas that support core application features and integrations. • Integrate with internal and third-party systems that support member and provider workflows. • Work with data and AI engineers to develop features that leverage AI and automation to improve user and provider experiences. • Use AI-assisted tools (e.g., Cursor, GitHub Copilot) to accelerate development, testing and debugging. • Contribute to CI/CD pipelines; improving deployment speed and reliability. • Write unit and integration tests to ensure code reliability and maintainability. • Monitor and troubleshoot services in production using Datadog, GCP Cloud Monitoring and logging best practices. • Participate in code reviews and pair programming to learn best practices and improve code quality. • Explore and apply AI tools to assist with development, testing and code analysis. • Continuously look for opportunities to improve reliability, observability and developer experience across backend systems.
• 1–3 years of experience (or equivalent personal projects/internships) in backend software development. • Bachelors Degree at a minimum. • Strong foundation in Python and Django (or a similar web framework). • Demonstrated ability to learn new tools and frameworks quickly. • Understanding of REST API design and data modeling concepts. • Familiarity with SQL databases (PostgreSQL preferred). • Curiosity about cloud infrastructure and distributed systems (GCP, Kubernetes). • Interest in AI tools and frameworks that improve productivity or enhance application features. • Clear communication and a collaborative mindset. • Experience deploying applications to GCP, AWS or similar cloud platforms (preferred). • Familiarity with containerized development (Docker, Kubernetes) (preferred). • Experience with monitoring and alerting tools (Datadog, Prometheus, Cloud Monitoring) (preferred). • Exposure to asynchronous or event-driven systems (Celery, Pub/Sub, etc.) (preferred). • Interest in healthcare technology and building tools that make a real-world impact (preferred). • Experience with API modeling and test tools such as OpenAPI, Swagger, GraphQL and Postman (preferred). • Experience using AI-assisted development tools such as Cursor, GitHub Copilot or similar to improve productivity and code quality (preferred).
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