Remote Full-Stack Developer

Descrizione dell’offerta di lavoro Remote Full-Stack Developer (Kotlin/Java/React + AI Focus) 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. Our teams work together to create the next generation of financial trading software. Job Description We are seeking a versatile Full‑Stack Developer with strong 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, which consists of building AI‑powered features for our users and establishing internal AI tooling and workflows. Scanz is a leading SaaS Trader Terminal that provides a suite of real‑time trading tools to help traders and investors identify live trading opportunities in the US stock market. We are dedicated to offering our users, from trading pros to absolute beginners, an intuitive and efficient trading experience. Responsibilities Core Development (~50%) 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 stand‑ups. AI & Innovation (~50%) 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, 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. #J-18808-Ljbffr