Junior Full Stack Developer

Symphony Digital Assets is a platform for digital assets under the PhillipCapital family. Current projects include the tokenisation of securities and real-world assets (RWA), the exploration of use cases and solutions built on various blockchains, and the use of AI to improve how we build software.

As a Junior Full Stack Developer, you will help build and maintain web applications and APIs for a digital asset platform, working under the guidance of senior engineers. You will also work as an AI-enabled engineer — using AI coding assistants in your daily work, and helping build product features that make use of large language models. This role is a chance to grow your technical depth, develop good judgement in applying AI, and learn to collaborate across different technical layers and teams.

• Integration with a global identity verification, fraud prevention, and compliance provider.

• Integrations with various crypto exchanges and liquidity providers.

• Banking and payment integrations, including Virtual Accounts, PayNow, and Demand Deposit Accounts.

• User account management.

• A ledger to track P&L and holdings.

• Contribute to the development of features for the product and platform, with guidance from senior engineers.

• Write clean, maintainable code and help build scalable and secure applications.

• Build and maintain RESTful APIs for internal systems under supervision.

• Use AI coding assistants (e.g. Claude, GitLab Duo) to help write, review, and debug code, while learning to verify quality and correctness.

• Support the integration of LLM and AI capabilities into product features, such as retrieval-augmented generation (RAG) and API/MCP-based integrations.

• Participate in code reviews and act on feedback to improve your work.

• Keep learning relevant technical and industry developments.

• 0-2 years of software development experience, including internships, academic, or personal projects.

• Foundational knowledge of Java, with an interest in working in a distributed environment.

• Familiarity with version control (Git), and an interest in learning Kubernetes and CI/CD pipelines (e.g. ArgoCD, GitLab).

• Exposure to server-side frameworks such as Spring Boot.

• A willingness to learn system architecture and design principles.

• Comfortable working alongside AI coding assistants, and developing judgement on when to rely on, verify, or override their output.

• Good communication skills and an eagerness to learn.

• Some exposure to LLM APIs (e.g. Anthropic Claude, OpenAI), including basic prompt design.

• Awareness of agentic patterns, RAG pipelines, vector stores, or the Model Context Protocol (MCP).

• Familiarity with cloud services like RDS, RabbitMQ, API Gateway, or DynamoDB.

• Containerisation and Git workflows (e.g. Docker).