Senior Software Engineer

About Rugiet

Rugiet is a high-growth, innovative telemedicine company pioneering patented solutions in the men's health space. We are dedicated to delivering accessible, effective, and patient-centric healthcare. As we continue to expand our suite of products and market presence, we rely on data-driven strategy and compelling messaging to connect patients with our life-changing solutions.

Role Overview

We're looking for a Senior Software Engineer who leads with problem-solving and systems thinking before reaching for tools. You'll design and ship reliable software across our web and mobile platforms — Ruby on Rails on the backend, React on the web, and React Native on mobile — while keeping a steady eye on platform stability and the quality of the patient and provider experience.

The ideal candidate has 6+ years of hands‑on experience with these technologies, deep instincts for application architecture and data modeling, and a methodical approach to building and shipping production software.

You'll also help shape how we build: applying AI‑driven development practices to ship faster, raise code quality, and increase what a small, high‑leverage engineering team can deliver.

What You'll Do

Engineering

• Build and maintain Ruby on Rails APIs, background jobs, data models, caching layers, and performance optimizations.
• Develop and ship React (web) and React Native (mobile) features with attention to accessibility, state management, and speed.
• Own end‑to‑end mobile feature work — from feature flagging and OTA updates to native release coordination through the App Store and Google Play.
• Influence architecture and data modeling decisions; advocate for reliable, observable, and maintainable solutions.
• Uphold code integrity through testing, code review, refactoring, monitoring, and clear documentation.
• Improve platform stability and performance proactively — indexing, caching, job throughput, and UX wins.

AI-Driven Development

• Use AI‑assisted development tools (modern AI IDEs, coding assistants, chat‑based AI) to accelerate feature work, refactors, framework upgrades, test generation, and code review.
• Build lightweight automations (GitHub Actions, repository bots, internal scripts, ChatOps) that compound in value over time.
• Establish and evolve team practices for getting the most out of AI tooling — what works, what doesn't, and how we measure it.
• Look for opportunities to apply AI to internal workflows and developer productivity, not just product features.

Day-to-Day

• Ship features end‑to‑end across backend, web, and mobile.
• Participate in stand‑ups and post async updates that are legible to non‑engineers.
• Pair with PMs and design on scoping; communicate timelines and trade‑offs transparently.
• Conduct thorough code reviews and contribute to a high‑trust engineering culture.
• Diagnose and resolve production issues when they arise; participate in on‑call rotations as needed.

Required Qualifications

• 6+ years building web applications with Ruby on Rails and React.
• Production experience building and shipping mobile features with React Native.
• Strong React fundamentals: hooks, component architecture, state management, and testing (Jest/RTL).
• Strong relational database skills (PostgreSQL preferred): indexing, query optimization, migrations, and data integrity.
• Comfortable with modern Git workflows, CI/CD, and shipping well‑tested code.
• Excellent written communication — able to translate technical detail into clear updates for non‑engineers.
• Demonstrated experience integrating AI tools into your development workflow to improve speed, quality, or reach.

Nice to Have

• Experience deploying and operating apps on Vercel, AWS (EC2, RDS, S3, CloudWatch), or similar cloud and edge platforms.
• Familiarity with containerization and modern CI/CD pipelines.
• Experience with mobile release workflows: App Store Connect, Google Play Console, EAS, OTA updates.
• Background in telehealth or other regulated industries — comfort with secure data handling and HIPAA.

How You Work

• Clarify requirements, assess constraints, and weigh trade‑offs before choosing tools.
• Prefer simple, observable solutions; ship incrementally.
• Take ownership — sweat the details, leave systems better than you found them, and follow through after release.
• Lean on automation. Turn playbooks into scripts. Turn scripts into systems.
• Treat AI as a power tool, not a crutch — use it to compound your judgment, not replace it.