Job Description & Details
This is a heavy-duty contract role bridging traditional enterprise Java architecture with modern AI-driven SDLC workflows in the financial sector. If you enjoy building scalable microservices while integrating cutting-edge agentic AI orchestration, this project offers a great playground.
What You'll Actually Be Doing
You'll spend your days architecting and building robust microservices using Core Java, Spring Boot, and Angular, while heavily utilizing Hazelcast for distributed caching. Beyond the standard full-stack duties, you'll dive into Python and experiment with spec-driven design, helping the team implement reimagined workflows powered by agentic AI and Copilot within financial capital markets.
The Core Tech Stack
Your bread and butter needs to be Core Java, Spring Boot, and Angular, backed by serious experience with Hazelcast and relational databases like MS SQL. They also require hands-on Python and a strong grasp of NoSQL like MongoDB. Because this is a financial markets project, having domain knowledge in equity or banking will seriously elevate your impact here.
Interview Expectations
Expect to be grilled on how you handle distributed caching bottlenecks in high-throughput financial systems using Hazelcast, and be prepared to write complex SQL queries or stored procedures on the fly. The hiring manager is testing your raw engineering rigor alongside your ability to conceptualize AI-driven SDLC workflows and spec-driven design.
Application Advice
Make sure your resume highlights deep enterprise Java and Angular experience right at the top, but don't bury your Python or NoSQL work. Explicitly mention any past exposure to agentic orchestration, Spec Driven Development, or financial domain projects to clear the initial ATS filters.