Senior Backend Software Engineer

Join Vida Health as a Senior Backend Software Engineer IV, where you will design, build, and scale the foundational backend services that power our member experiences. You will focus on core APIs, data interactions, and cloud infrastructure, working deeply with Python, Django, PostgreSQL, and Google Cloud Platform (GCP). As a key technical leader, you will mentor peers, evolve our infrastructure, and ensure a resilient, scalable backend that delivers a premium member journey.

• Concevoir, construire et mettre à l'échelle les services backend fondamentaux qui alimentent les expériences des membres de Vida.
• Diriger la conception architecturale et la stratégie technique pour les nouveaux systèmes backend, les microservices et les API évolutives.
• Écrire un code propre, performant et hautement testable principalement en Python et Django, et gérer les déploiements conteneurisés.
• Bachelors degree at a minimum
• Strong understanding of observability, profiling, and performance tuning in production environments
• Exceptional system design skills, with the ability to architect reliable, distributed backend services that power mobile and web clients
• Strong hands-on experience with Google Cloud Platform (GCP)
• Hands-on experience working with Google BigQuery and dbt (specifically around query optimization, utilizing dbt models in application code, and integrating analytical data into application backends)
• Excellent technical communication skills, with the ability to articulate complex architectural decisions to both technical and non-technical stakeholders
• 7+ years of professional engineering experience with a proven track record of leading technical projects and cross-functional initiatives
• Proven experience defining and managing infrastructure as code using Terraform
• Deep knowledge of containerization and orchestration (Docker, Kubernetes)
• Deep, senior-level expertise in Python and the Django framework, with a proven track record of maintaining large-scale production applications
• Advanced proficiency in SQL and relational database architecture, specifically PostgreSQL
• Experience in the healthcare industry or other highly regulated environments (HIPAA, SOC2 compliance)
• Experience using AI-powered development tools (e.g., Claude, Cursor, GitHub Copilot)
• Experience integrating AI/LLM models or working alongside Data Science teams to build user-facing AI features
• Hands-on experience with asynchronous task queues and messaging brokers (Celery, Redis, RabbitMQ, Pub/Sub)
• Familiarity with building automation hooks and CI/CD pipelines (GitHub Actions, GitLab CI, etc.)