Staff Engineer - Full Stack

Evidation creates new ways to measure and improve health in everyday life—making proactive, personalized, and truly human-centered healthcare possible. By connecting directly with millions of individuals, Evidation harnesses real-world data to deeply understand health experiences, rapidly and dation’s privacy-centric digital health measurement and engagement platform uses data science and machine learning to translate these everyday insights into high-impact health guidance, treatments, and tools.

Founded in 2012, Evidation is headquartered in California with employees working around the globe.

We’re seeking a Staff Engineer to work on-site in Santa Barbara - someone who genuinely values being in-person, working side‑by‑side and building things together. The successful candidate will be equally comfortable architecting complex systems and diving deep into implementation. This isn’t a traditional full stack role—it’s for an engineer who is fully committed to integrating AI Agents, automation, and AI‑driven tooling into both their own workflow and the broader engineering practice.

As a Staff Engineer, you’ll set the standard for how AI‑augmented engineering is done: solving hard problems across the stack, accelerating development velocity, and mentoring others to adopt AI‑first ways of working.

• Technical Leadership
• Lead design and architecture across backend (Ruby on Rails), frontend (Expo/React Native), and infrastructure.
• Provide deep technical expertise, guiding teams through complex architecture, trade‑offs, and long‑term technical investments.
• Drive the technical vision and strategy in alignment with company goals.
• Take ownership of critical technical areas, ensuring projects are delivered with quality and speed.
• Set and uphold high engineering standards, ensuring scalability, reliability, and maintainability in system design.
• Mentor engineers on both technical depth and effective use of automation.
• AI‑Driven Development
• Define and champion best practices for AI‑first engineering workflows
  .
• Experiment with and integrate AI tools into the software development lifecycle: design, coding, testing, deployment, and operations.
• Build frameworks and libraries that make AI‑assisted development a repeatable, scalable practice.
• Reduce engineering toil by leaning on automation and AI‑driven observability.
• Product & Platform Execution
• Collaborate closely with product, design, and data teams to deliver measurable outcomes.
• Communicate complex technical concepts clearly to both technical and non‑technical audiences.
• Build consensus across teams, fostering collaboration and alignment in technical decisions.
• Anticipate organizational technical needs and propose solutions that address company‑wide challenges.
• Ensure reliability, scalability, efficiency and security of our solutions.

• Technical Expertise
• 12+ years professional experience in software engineering with proven full stack capability.
• Deep knowledge of Ruby on Rails and Expo/React Native
  .
• Experience with automated testing (Playwright, Postman, or equivalent) and integrating tests into CI/CD.
• Proficiency with CI/CD pipelines (Git Hub Actions or similar).
• Strong grasp of distributed systems, REST/Graph
  
  QL APIs, and modern cloud architectures (AWS).
• Hands‑on experience with AI‑assisted coding and automation tools
  .
• Eagerness to stay on the bleeding edge of AI development trends (prompt engineering, agent‑based workflows, automated testing).
• Ability to influence teammates in adopting AI‑first practices.
• Leadership & Influence
• Track record of driving architectural decisions or leading technical initiatives.
• Ability to mentor engineers and set technical direction across projects.
• Strong communication skills to work effectively across engineering, product, and leadership.

• Infrastructure as Code (IaC):
  Pulumi / Go
• Experience building dynamic infrastructure beyond Terraform.
• Data & Analytics: dbt + Snowflake
• Experience with modern data transformations (dbt) and cloud data warehouses (Snowflake).
• Familiarity with deploying and managing services in Kubernetes (EKS).
• Experience with Helm for repeatable deployments and release management.

The pay range for this role is:

180, USD per year (Santa Barbara, CA)