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Cloud HPC Engineer

E-Solutions, Inc.Jersey City, NJ🇺🇸United StatesPosted 24 Aug 2026

Why This Role Stands Out

Shape the future of financial modeling by architecting and managing a cutting-edge, massive-scale distributed compute grid on AWS and GCP, offering hybrid flexibility and significant growth opportunities. If you excel at optimizing complex cloud infrastructure and thrive in a collaborative, innovative environment, this role is an exceptional chance to make a substantial impact. Apply today to join a leading firm and advance your career in cloud HPC engineering.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Jersey City, NJ, United States
Posted
23 hours ago
DockerAWSC++Google CloudKubernetesPythonRisk Management

Job Description

Key Responsibilities:

  • Architect build and manage a massive scale distributed compute grid on public cloud platforms AWS Google Cloud Platform for running financial pricing models

  • Design and implement the orchestration layer responsible for distributing millions of pricing tasks efficiently across hundreds of thousands of CPUGPU cores

  • Deploy manage and version control a diverse library of quantitative pricing models ensuring they run optimally in a distributed environment

  • Obsessively monitor and optimize the performance cost and resource utilization of the cloud grid driving continuous efficiency improvements

  • Collaborate with quantitative development teams to seamlessly integrate new and updated pricing models into the production grid

  • Engineer the data logistics to ensure that the correct market data trade data and model configurations are available for every calculation at runtime

  • Ensure the pricing engine is highly available resilient and capable of meeting stringent recovery time objectives

 

What We are Looking For:

  • Experience with a proven track record of designing building and running applications on massive scale compute grids

  • Expertlevel Handson experience with at least one major public cloud provider AWS or Google Cloud Platform including their batch processing container and serverless offerings

  • Deep expertise in containerization and orchestration technologies Docker Kubernetes

  • Strong programming skills in languages common to high performance computing such as C and Python

  • Prior experience in a similar role within the financial industry eg running largescale Monte Carlo simulations VaR calculations or XVA pricing grids is highly desirable

  • A degree in Computer Science Engineering or a related technical field

  • A strong background in distributed systems performance tuning and infrastructureascode principles

  • Exceptional problem-solving skills with an ability to diagnose and resolve complex issues in a high pressure largescale environment

  • Excellent communication skills and the ability to work effectively with quantitative research trading and risk management teams".


Cloud HPC Engineer1Google Cloud Platform,Python,AWS,docker,C/C++,HPCN/AFull TimeUnited States

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