Scanz
Remote Full-Stack Developer (Kotlin/Java/React + AI Focus)
Scanz, Guernsey, Wyoming, United States, 82214
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.
Job Description 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 TypeScript 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.
Responsibilities
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 (PostgreSQL).
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.
Requirements Technical Skills
Strong proficiency in Kotlin and Java.
Proficiency with TypeScript 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 PostgreSQL.
Experience with containerization technologies (Docker, Kubernetes).
Comfortable using AWS and cloud computing platforms.
Solid understanding of testing practices (unit, integration, E2E).
AI & LLM Experience
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).
Soft Skills
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.
Tech Stack Backend
Kotlin, Java
Spring Webflux, Kotlin Coroutines
RSocket
PostgreSQL (mostly R2DBC or jOOQ), MongoDB
JUnit, TestContainers
Gradle
Express JS
Frontend & Desktop
TypeScript, React (with hooks), Vue.js
Electron
Kotlin Multiplatform
NPM, Gradle
Infrastructure
AWS + S3
Prometheus, Grafana
Jenkins, GitHub
Docker, Kubernetes
AI/LLM (Current & Expanding)
Claude API, OpenRouter
Braintrust for AI Ops
AI coding assistants
Vercel AI SDK
Internal tooling TBD (you’ll help shape this)
Why This Role? This isn’t a typical backend position. You’ll have the opportunity to work across our entire stack while playing a foundational role in how we integrate AI into both our product and our development practices. If you’re excited about the rapidly evolving AI landscape and want to be at the forefront of applying these tools in a real‑world fintech environment, we’d love to hear from you.
To Apply Please include:
Your resume/CV.
A brief note on your experience with AI tools in development (what you’ve used, how it’s changed your workflow, any projects you’ve built).
Any relevant examples of full‑stack or cross‑domain work.
Hiring Details Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Engineering and Information Technology
Industries:
Technology, Information and Internet
Referrals increase your chances of interviewing at Scanz by 2x.
#J-18808-Ljbffr
Job Description 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 TypeScript 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.
Responsibilities
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 (PostgreSQL).
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.
Requirements Technical Skills
Strong proficiency in Kotlin and Java.
Proficiency with TypeScript 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 PostgreSQL.
Experience with containerization technologies (Docker, Kubernetes).
Comfortable using AWS and cloud computing platforms.
Solid understanding of testing practices (unit, integration, E2E).
AI & LLM Experience
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).
Soft Skills
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.
Tech Stack Backend
Kotlin, Java
Spring Webflux, Kotlin Coroutines
RSocket
PostgreSQL (mostly R2DBC or jOOQ), MongoDB
JUnit, TestContainers
Gradle
Express JS
Frontend & Desktop
TypeScript, React (with hooks), Vue.js
Electron
Kotlin Multiplatform
NPM, Gradle
Infrastructure
AWS + S3
Prometheus, Grafana
Jenkins, GitHub
Docker, Kubernetes
AI/LLM (Current & Expanding)
Claude API, OpenRouter
Braintrust for AI Ops
AI coding assistants
Vercel AI SDK
Internal tooling TBD (you’ll help shape this)
Why This Role? This isn’t a typical backend position. You’ll have the opportunity to work across our entire stack while playing a foundational role in how we integrate AI into both our product and our development practices. If you’re excited about the rapidly evolving AI landscape and want to be at the forefront of applying these tools in a real‑world fintech environment, we’d love to hear from you.
To Apply Please include:
Your resume/CV.
A brief note on your experience with AI tools in development (what you’ve used, how it’s changed your workflow, any projects you’ve built).
Any relevant examples of full‑stack or cross‑domain work.
Hiring Details Seniority level:
Mid‑Senior level
Employment type:
Full‑time
Job function:
Engineering and Information Technology
Industries:
Technology, Information and Internet
Referrals increase your chances of interviewing at Scanz by 2x.
#J-18808-Ljbffr