About Evidation

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 at scale. Evidation’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.

About the role

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.

What you'll do

• 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.

Qualifications

• 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 (GitHub Actions or similar).
  • Strong grasp of distributed systems, REST/GraphQL APIs, and modern cloud architectures (AWS).

• AI Enthusiasm & Practice
• • 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.

Nice to Haves

• 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).
• Containerization & Orchestration: EKS + Helm
• • Familiarity with deploying and managing services in Kubernetes (EKS).
  • Experience with Helm for repeatable deployments and release management.