As a Backend Engineer, you will build and maintain APIs, optimize backend systems on GCP, integrate with internal systems, and leverage AI tools to enhance services and workflows.
ABOUT US
At Vida, we help people get better- and we're helping the healthcare system get better, too.
Vida is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions like diabetes, high blood pressure, anxiety and depression. Vida's team of Obesity Medicine-Certified Physicians, Registered Dietitians, Expert Coaches and Licensed Therapists takes a whole-person approach to care, helping people lose weight, reduce stress and improve their overall health.
By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. It's trusted by Fortune 100 companies, major national payers and large providers to enable their employees to live their healthiest lives.
**Vida is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where Vida is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where Vida is registered.
Please note: all Vida Employees must be able to work from the U.S.- international work is prohibited.
We’re looking for a Backend Engineer to help build and maintain the services that power Vida’s internal and external applications; primarily using Django, REST APIs, Google Cloud Platform (GCP) and Kubernetes. This role is ideal for someone early in their engineering career who wants to grow their skills in backend development, cloud infrastructure and modern software practices. You’ll collaborate closely with experienced engineers, product managers and designers to deliver new features and services that help our members and providers thrive. You’ll also have the opportunity to work with AI, both to enhance our product experience and to assist in the software development process through AI-powered tools.
Responsibilities:
- 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.
Qualifications:
- 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.
Preferred:
- Experience deploying applications to GCP, AWS or similar cloud platforms.
- Familiarity with containerized development (Docker, Kubernetes).
- Experience with monitoring and alerting tools (Datadog, Prometheus, Cloud Monitoring).
- Exposure to asynchronous or event-driven systems (Celery, Pub/Sub, etc.).
- Interest in healthcare technology and building tools that make a real-world impact.
- Experience with API modeling and test tools such as OpenAPI, Swagger, GraphQL and Postman.
- Experience using AI-assisted development tools such as Cursor, GitHub Copilot or similar to improve productivity and code quality.
Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer.
Diversity is more than a commitment at Vida—it is the foundation of what we do. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
We seek to recruit, develop and retain the most talented people from a diverse candidate pool. We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve. Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at Vida in any form without a valid, signed search agreement in place for the specific position will be deemed the sole property of Vida. No fee will be paid in the event the candidate is hired by Vida as a result of the unsolicited referral.
#LI-remote
Top Skills
AI
Datadog
Django
Docker
Google Cloud Platform
Kubernetes
Postgres
Prometheus
Python
Rest Apis
SQL
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