Live opening · Posted 11 days ago
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About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Core Technology: Transactions & Data is part of Millennium’s Information Technology organization. The team builds and operates platforms that capture and process the firm’s trading activity after execution. Based in Bangalore, the team is developing a new cloud-native post-trade platform and applying AI to enhance software delivery and automate Operations and Middle Office processes.
What You'll Do
Build and maintain Java and Spring Boot services and APIs that process trades, positions, and related data across the post-trade lifecycle.
Develop Angular screens and workflows for Operations users, including exception queues, break investigations, and status dashboards.
Design, build, test, and support full-stack features for a greenfield post-trade platform.
Write automated unit, integration, and end-to-end tests, and actively participate in code reviews.
Use AI coding assistants to improve development productivity while understanding, testing, and owning every line of committed code.
Help deliver AI-assisted capabilities, such as exception classification, data extraction from confirmations, and suggested resolutions for breaks.
Deploy and operate services on Kubernetes in AWS through CI/CD pipelines, and support them in production.
Partner directly with business users and global colleagues to clarify requirements and resolve issues.
What You Bring
Solid Java experience, preferably Java 17 or later, with Spring and Spring Boot expertise.
Experience building REST APIs and working with relational databases and SQL.
Front-end experience with Angular and TypeScript, or a strong willingness to develop these skills; mid-level candidates should have delivered Angular work in production.
Strong computer science fundamentals, including data structures and clean-code principles.
Familiarity with Git, automated testing, and CI/CD practices.
Hands-on experience using AI coding assistants, such as Claude or Codex, and an interest in applying AI to automate business processes.
Clear written and verbal communication skills, along with a proactive approach to asking questions and collaborating with stakeholders.
Experience in financial services, post-trade workflows, event-driven systems, Docker, Kubernetes, AWS, LLM APIs, prompt design, document extraction, or standards such as FIX, SWIFT, or FpML is preferred.
Work arrangement
No
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