Vida Health
Software Engineer
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: Applicants must be authorized to work in the U. S. as Vida is unable to sponsor work visas for any position
All Vida Employees must reside in/be able to work from the U. S. – international work is prohibited
The Tech Lead, Data Engineering builds the decisioning and configuration layer behind how partners operate Vida programs- how they onboard members, configure programs, manage eligibility, handle billing-adjacent workflows and run at scale.
This person will be hands-on in the codebase while also leading planning, reviews and architecture decisions. Vida invests in quality and observability so we can move fast without breaking things that affect people’s health.
Responsibilities:
Own delivery end to end from technical specs, phased migrations, deprecation plans and more.
Take architectural plans and turn them into shipped software- sequenced, risk-managed and on schedule.
Design and implement backend services that handle complex business logic- configuration management, workflow orchestration, data validation and integrations across internal and external systems.
Design APIs, model data, write tests and review pull requests that make the whole team better.
Collaborate on architecture, define domain boundaries, set API standards and bring your own ideas about how to solve hard problems. You will have real influence over how these systems evolve.
Pilot tools where they help, document patterns and scale what works. AI assists; engineers remain accountable for correctness, security and privacy.
Define testing strategies, establish observability standards and strengthen runbooks.
Mentor engineers through code reviews, pairing and technical guidance.
Partner with Product, Partnerships and Clinical Operations to understand requirements and partner-facing implications.
Coordinate with Data/AI on integration points.
Qualifications:
Bachelors Degree at a minimum.
6+ years of backend engineering experience (or equivalent), with at least 2 years in a technical leadership role- Lech Lead, Senior Engineer leading a team or similar.
Strong Python fluency. You’ve built and operated production services in Python- ideally with FastAPI or similar async frameworks.
Deep relational database experience. You understand schema design, indexing strategies, query performance, data integrity constraints and migration patterns; PostgreSQL preferred.
Experience designing and building APIs that other teams depend on. You think about contracts, versioning, backward compatibility and clear error semantics.
Solid understanding of data modeling for complex business domains. You’ve worked in systems where the domain logic is the hard part, not just the infrastructure.
Experience with service-oriented or event-driven architectures. You’ve built or decomposed systems that communicate through well-defined interfaces and domain events.
You’ve built systems where events can arrive out of order or twice- and you design for idempotency, retries and safe backfills.
You’ve worked on systems with complex state machines, workflow orchestration or multi-step business processes.
You think about schema evolution, backward compatibility and how systems change over time without breaking consumers.
You can take a technical spec or architecture document and turn it into a clear execution plan with milestones, dependencies and risk callouts.
You’ve led small teams (3-8 engineers) through complex projects and shipped on time. You know how to scope aggressively and cut scope wisely.
You default to pragmatism over perfection. You know when to build it right and when to build it now.
You communicate technical complexity clearly to both engineers and non-technical stakeholders.
You’re opinionated about code quality but not dogmatic. You care about readability, testability and maintainability.
You’re excited about AI-assisted development and actively use modern tools to improve your own workflow.
Preferred:
Healthcare, insurance or enterprise SaaS experience- especially in systems with complex partner configuration, eligibility logic or program matching.
Experience with GCP (Cloud Run, Cloud SQL, Pub/Sub). We’re on GCP, but strong cloud fundamentals transfer.
Familiarity with configuration management systems, rules engines or multi-tenant platform architecture.
Experience working with data engineering or data science teams, especially integrating ML model outputs into backend services.
HIPAA compliance experience.
$165,000 – $175,000 a year
To apply for this job please visit jobs.lever.co.