Cloud HPC Engineer

Experis; Jersey City (NJ); On-site; USD 47,000 - 63,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

Health Savings Account

Job summary

Experis seeks a Cloud HPC Engineer to own a massive-scale distributed compute grid for financial pricing models, operating onsite in Jersey City, NJ. You will run millions of calculations across a colossal cloud grid, ensuring speed, reliability, and seamless integration with quant research and risk teams.

You will design orchestration layers, manage model libraries, and optimize cost and performance while maintaining high availability to meet strict regulatory demands.

Qualifications

• 10 years of professional experience designing and running massive-scale compute grids.
• Expert hands-on experience with AWS or GCP including batch processing, container, and serverless offerings.
• Deep expertise in containerization and orchestration technologies (Docker, Kubernetes).
• Strong programming skills in C and Python for high-performance computing.
• Experience in finance with Monte Carlo simulations, VaR, or XVA pricing grids is highly desirable.

Responsibilities

• Architect, build, and manage a massive-scale distributed compute grid on public clouds (AWS/GCP) for pricing models.
• Design and implement the orchestration layer to distribute millions of pricing tasks across CPUGPU cores.
• Deploy, manage, and version control a diverse library of pricing models for distributed execution.
• Monitor, optimize performance, cost, and resource utilization of the cloud grid.
• Collaborate with quantitative teams to integrate models into production grids.
• Engineer data logistics to ensure market data and configurations are available at runtime.
• Ensure the pricing engine is highly available and meets recovery time objectives.

Skills

C

Python

Distributed systems

Performance tuning

Education

Bachelor's degree in Computer Science or related

Tools

Docker

Kubernetes

AWS

GCP

Job description

Cloud HPC Engineer

Onsite Role

Jerey City, NJ

$40 hourly on w2

Your Role and Impact:

As the lead for the Pricing Engine you are the master of massivescale computation You will take the sophisticated pricing models developed by our top quants and operationalize them on a colossal grid Your primary mission is to ensure that millions of trades can be revalued against thousands of historical market scenarios with extreme speed efficiency and rocksolid stability

Your impact is at the core of our risk valuation capability You will architect the system that answers the most fundamental question in risk What is it worth right now under this scenario The performance and reliability of the platform you build will directly determine the firms ability to manage risk and meet its most critical regulatory obligations

Key Responsibilities

• Architect build and manage a massivescale distributed compute grid on public cloud platforms AWS GCP 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

Cloud HPC Engineer

Onsite Role

Jerey City, NJ

$40 hourly on w2

Your Role and Impact:

As the lead for the Pricing Engine you are the master of massivescale computation You will take the sophisticated pricing models developed by our top quants and operationalize them on a colossal grid Your primary mission is to ensure that millions of trades can be revalued against thousands of historical market scenarios with extreme speed efficiency and rocksolid stability

Your impact is at the core of our risk valuation capability You will architect the system that answers the most fundamental question in risk What is it worth right now under this scenario The performance and reliability of the platform you build will directly determine the firms ability to manage risk and meet its most critical regulatory obligations

Key Responsibilities

• Architect build and manage a massivescale distributed compute grid on public cloud platforms AWS GCP 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 Were Looking For

• 10 years of professional experience with a proven track record of designing building and running applications on massivescale compute grids
• Expertlevel handson experience with at least one major public cloud provider AWS or GCP including their batch processing container and serverless offerings
• Deep expertise in containerization and orchestration technologies Docker Kubernetes
• Strong programming skills in languages common to highperformance 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 problemsolving skills with an ability to diagnose and resolve complex issues in a highpressure largescale environment
• Excellent communication skills and the ability to work effectively with quantitative research trading and risk management teams

What’s in it for me

• Running millions to billions of pricing calculations
• Managing massive AWS/GCP compute clusters
• Scaling Kubernetes environments
• Optimizing CPU/GPU utilization and cloud spend
• Supporting Monte Carlo and Risk simulations
• Working closely with Quants and Risk teams
• Ensuring regulatory and risk calculation deadlines are met

Benefits

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions

Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.

$40.0/hourly