Senior Java Software Engineer - Vice President

Job Specification:

We are seeking a Senior Java Engineer to fill the role of ‘Applications Development Technology Lead Analyst’ on the XiNG large scale distributed calculation platform (XiP).

In this role you will design, build, and maintain the software that manages and controls the XiP platform. This engine is responsible for 1.5 billion risk & suitability calculations at Citi every day. The calculation engine at the core of XiP is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure.

As an engineer working on XiP, you will work on a platform which daily; coordinates hundreds of thousands of pods, consumes tens of thousands of compute cores, utilizes hundreds of TB of memory, and distributes hundreds of millions of calculations.

You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of the platform.

Responsibilities:

Take part of the shared responsibility for the long-term strategic direction of the XiP Platform:

Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilize resources better, and scale to even greater sizes. This means adding new features without impacting performance of the platform in undesirable manner, small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines.

Collaborate and innovate within the team:

Work as a key member of the development team responsible for the next generation of XiP. Participate actively in the team's Agile/Scrum ceremonies, contribute to technical discussions, and share your knowledge with peers to solve complex challenges and drive the project forward.

Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelizes 250,000 hours of compute into a single 90-minute execution:

Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelization strategies and identify opportunities to further improve efficiency, scalability, and throughput.