Note: The job is a remote job and is open to candidates in USA. Vida Health is a virtual, personalized obesity care provider that combines advanced technology with healthcare expertise. They are seeking a highly skilled Backend Software Engineer IV to design, build, and scale foundational backend services that enhance member experiences, focusing on core APIs and cloud infrastructure.
Responsibilities
- Lead the architectural design and technical strategy for new backend systems, microservices, and scalable member-facing APIs
- Design robust, versioned REST APIs that seamlessly power cross-platform web and mobile (React Native) member applications
- Evaluate trade-offs in system design, ensuring high availability, security, and low latency for a growing healthcare platform
- Evolve database models, schemas, and indexing strategies in PostgreSQL to support complex, high-throughput application logic
- Write clean, performant, and highly testable code primarily in Python and Django
- Provision, manage, and optimize cloud infrastructure on GCP—including IAM and Compute—utilizing Terraform (Infrastructure as Code)
- Manage containerized deployments and orchestrate services using Docker and Kubernetes
- Implement and refine asynchronous event-driven systems (e.g., Celery, Pub/Sub) to handle application workflows and notifications
- Utilize AI-assisted development tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate delivery and maintain high engineering velocity
- Architect application-level data access patterns that efficiently interact with our newly restructured data layer, pulling from both operational databases (PostgreSQL) and analytical warehouses (BigQuery transformed via dbt)
- Collaborate on and utilize dbt (data build tool) models to ensure backend applications consume well-structured, tested, and documented analytical data
- Optimize complex BigQuery and SQL queries to ensure low-latency data retrieval for personalized, member-facing features
- Partner with Data Engineering and AI teams to seamlessly consume structured data and models that drive smart, automated member interactions in the app
- Drive a culture of operational excellence by defining and monitoring SLAs, SLOs, and SLIs for member-facing services
- Implement advanced monitoring, alerting, and logging using Datadog, GCP Cloud Monitoring, and distributed tracing tools
- Lead root-cause analysis (RCA) for complex production incidents and implement permanent architectural safeguards
- Serve as a technical mentor to mid-level engineers, elevating the team’s capabilities in system design, Python best practices, and cloud architecture
- Champion rigorous engineering standards, including code review practices, comprehensive documentation, and automated testing strategies
- Partner closely with Product, Design, and React Native frontend teams to deliver seamless, secure, and compliant end-to-end member experiences
- Additional responsibilities as assigned
Skills
- Bachelors degree at a minimum
- 7+ years of professional engineering experience with a proven track record of leading technical projects and cross-functional initiatives
- Deep, senior-level expertise in Python and the Django framework, with a proven track record of maintaining large-scale production applications
- 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)
- Proven experience defining and managing infrastructure as code using Terraform
- 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)
- Deep knowledge of containerization and orchestration (Docker, Kubernetes)
- Advanced proficiency in SQL and relational database architecture, specifically PostgreSQL
- Strong understanding of observability, profiling, and performance tuning in production environments
- Excellent technical communication skills, with the ability to articulate complex architectural decisions to both technical and non-technical stakeholders
- Experience using AI-powered development tools (e.g., Claude, Cursor, GitHub Copilot)
- Experience in the healthcare industry or other highly regulated environments (HIPAA, SOC2 compliance)
- 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.)
Company Overview