- Design, develop, and deliver full-stack applications using Java and Vue.js.

- Build scalable backend services, APIs, and distributed systems using modern Java frameworks.

- Develop modern, responsive front-end applications using Vue.js.

- Design and optimize low-latency, high-throughput services using Aeron-based messaging frameworks.

- Take end-to-end ownership of features from design through development, deployment, and production support.

- Build and maintain integrations across APIs, messaging systems, databases, and enterprise platforms.

- Troubleshoot production issues, perform root cause analysis, and optimize system performance.

- Collaborate with engineering teams and business stakeholders to deliver robust technical solutions.

- Participate in architecture discussions, code reviews, testing, and technical documentation.

- Contribute to platform modernization and continuous improvement initiatives.

- Exposure to AI/LLM technologies is a plus and may be leveraged for future platform enhancements.

Required Skills & Experience:

- 8 - 14 years of software engineering experience, preferably in financial services, investment management, capital markets, or other enterprise environments.

- Strong hands-on expertise in Java and enterprise backend development.

- Experience building REST APIs, distributed systems, and full-stack applications.

- Strong experience with Vue.js.

- Experience with Aeron or similar low-latency messaging frameworks.

- Strong understanding of concurrency, multithreading, asynchronous processing, messaging, and performance optimization.

- Experience integrating applications across APIs, databases, messaging platforms, and enterprise systems.

- Proven ability to independently drive projects from design through delivery.

- Strong communication and stakeholder management skills.

- Experience working in Agile development environments.

Nice to Have :

- Exposure to Generative AI, LLMs, RAG, AI agents, or related technologies.

- Python experience, particularly for automation or AI integrations.

- Experience with LangChain, LangGraph, vector databases, or similar frameworks.

- Exposure to financial markets, investment management, trading, or capital markets.

- Experience building high-performance or real-time systems.

- Experience with Azure or other cloud platforms.

- Experience with Snowflake or other data warehouse technologies.

- Experience working in large enterprise or multi-vendor environments.