Cloud HPC Engineer — FinTech Pricing Grid

Capgemini; New York (NY); Hybrid; USD 86,000 - 117,000; Full time

Job summary

Capgemini is seeking a Cloud HPC Engineer in New York to lead the development and operation of a high‑scale pricing grid for financial modeling. You will deploy and run a distributed compute factory across public cloud platforms, enabling rapid revaluation of trades with complex market scenarios.

The role requires expert cloud experience (AWS or GCP), strong skills in Docker and Kubernetes, and programming proficiency in C and Python to optimize performance, resilience, and cost across a global

Qualifications

• 10 years of professional experience with massivescale compute grids.
• Expert-level hands-on experience with at least one major public cloud provider AWS or GCP.
• Deep expertise in containerization and orchestration: Docker and Kubernetes.

Responsibilities

• Architect, build and manage a massive-scale distributed compute grid on AWS/GCP for financial pricing models.
• Design and implement the orchestration layer distributing millions of pricing tasks across cores.
• Deploy, manage and version-control a library of pricing models for distributed execution.

Skills

Distributed systems

High-performance computing

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

GCP

Python

C

Job description

Capgemini is seeking a Cloud HPC Engineer in New York to lead the development and operation of a high‑scale pricing grid for financial modeling. You will deploy and run a distributed compute factory across public cloud platforms, enabling rapid revaluation of trades with complex market scenarios.

The role requires expert cloud experience (AWS or GCP), strong skills in Docker and Kubernetes, and programming proficiency in C and Python to optimize performance, resilience, and cost across a global