Remote Full-Stack Developer; Kotlin​/Java​/React + AI Focus

Remote Full-Stack Developer (Kotlin/Java/React + AI Focus) – Scanz

Scanz has been working for nearly two decades in the real‑time trading technology and fintech space. We operate a market‑leading SaaS platform that delivers complex technological systems for serious traders worldwide. By joining Scanz you’ll become part of a company that fosters self‑improvement and actively seeks out‑of‑the‑box ideas, with teams collaborating to create the next generation of financial trading software.

We are seeking a versatile Full‑Stack Developer with solid backend foundations to join our team and contribute across multiple areas of our platform, from server‑side systems to billing infrastructure to desktop applications. This role is ideal for someone who thrives working across the stack and is passionate about leveraging AI tools and LLMs to accelerate development and build intelligent features.

You will primarily work with Kotlin/Java on the backend and Type Script on the frontend, with significant exposure to our Electron desktop application and billing/accounts systems. A key aspect of this role involves pioneering our AI‑first development practices, building AI‑powered features for our users and establishing internal AI tooling and workflows.

• Design and implement server‑side logic using Spring Webflux and Kotlin.
• Build robust, reliable, fault‑tolerant data pipelines that process millions of operations daily.
• Collaborate with front‑end developers to integrate user‑facing elements with server‑side logic.
• Maintain and enhance our user accounts backend APIs.
• Contribute to our Electron desktop application and common client libraries.
• Develop and maintain APIs, ensuring high performance and responsiveness.
• Contribute to database design and implementation (Postgre
  
  SQL).
• Participate in code reviews and daily remote standups.
• Champion AI‑first development practices across the team.
• Build and maintain AI‑powered features for our trading platform.
• Develop internal AI tooling: agents for documentation, architecture analysis, code assistance, and workflow automation.
• Experiment with and evaluate emerging LLM capabilities and integrate them into our development processes.
• Create and optimize prompts, context systems, and AI workflows.
• Help onboard team members to AI‑assisted development practices.

• Strong proficiency in Kotlin and Java.
• Proficiency with Type Script and modern front‑end frameworks (React, Vue.js).
• Experience with Electron or desktop application development (preferred).
• Familiarity with Spring Webflux and reactive programming concepts.
• Experience with billing/payments systems (Stripe, subscription management) is a plus.
• Comfortable with database systems, particularly Postgre
  
  SQL.
• Experience with containerization technologies (Docker, Kubernetes).
• Comfortable using AWS and cloud computing platforms.
• Solid understanding of testing practices (unit, integration, E2E).

• Demonstrated experience using advanced AI development workflows.
• Experience with LLM APIs and prompt engineering.
• Experience building AI‑powered features or agents.
• Enthusiasm for exploring and pushing the boundaries of AI‑assisted development.
• Model fine‑tuning (nice to have).
• RAG implementation (nice to have).

• Self‑motivated and comfortable working across multiple domains.
• Strong problem‑solving skills and ability to context‑switch effectively.
• Excellent collaboration and communication skills within an asynchronous environment (Slack, Loom).
• Willingness to learn new technologies and adapt quickly.
• Curious mindset with eagerness to experiment with emerging tools and approaches.

• Kotlin, Java
• Spring Webflux, Kotlin Coroutines
• RSocket
• Postgre
  
  SQL (mostly R2
  
  DBC or jOOQ), MongoDB
• JUnit, Test Containers
• Gradle
• Express JS

• Type Script, React (with hooks), Vue.js
• Electron
• Kotlin Multiplatform
• NPM, Gradle

• AWS + S3
• Prometheus, Grafana
• Jenkins, Git Hub
• Docker, Kubernetes

• Claude API, Open Router
• Braintrust for AI Ops
• AI coding assistants
• Vercel AI SDK
• Internal tooling TBD (you’ll help shape this)

This isn’t a typical backend…