Lead HPC Cloud Engineer

Straive; Pune District, Chennai District; Hybrid; INR 4,000,000 - 6,000,000; Full time

Job summary

Straive seeks a senior expert to lead the development, deployment, and optimization of a global, massive-scale financial pricing compute grid on AWS/GCP. You will operationalize complex models, run trillions of calculations for real-time risk, Monte Carlo simulations, and regulatory reporting across thousands of cores.

The role requires 10+ years of experience, a CS/Engineering degree, and finance-domain exposure.

Qualifications

• Experience: 10+ years building and running applications on massive-scale compute grids.
• Education: Bachelor's or Master's in Computer Science, Engineering, or related technical discipline.
• Domain exposure: Financial pricing grids, Monte Carlo simulations, VaR or XVA pricing is preferred.
• Location/setup: On-site / Hybrid work based in Pune or Chennai.

Responsibilities

• Architect and manage distributed compute grids on public cloud platforms (AWS/GCP) to execute pricing models.
• Design and implement task orchestration to distribute millions of tasks across hundreds of thousands of cores.
• Monitor, tune, and optimize platform performance and cloud cost efficiency.
• Deploy, version-control, and integrate pricing models into production with quant teams.
• Build data pipelines to deliver market data, trade data, and model configurations to runtimes.
• Maintain high availability, fault tolerance, and strict recovery time objectives for the valuation engine.

Skills

AWS

GCP

Kubernetes

Docker

AWS Batch

GCP Batch

Python

Distributed Systems

HPC

IaC

Job description

1. Role Overview

This role leads the development, deployment, and optimization of a global, massive-scale financial pricing compute grid on public cloud infrastructure (AWS/GCP). The team needs this role to operationalize complex quantitative models and efficiently execute trillions of calculations for real-time risk valuation, Monte Carlo simulations, and regulatory reporting across thousands of cores. Its core purpose is to build a highly resilient, cost-optimized valuation engine that enables the firm to price its trading book rapidly and meet critical risk management deadlines.

2. Key Responsibilities

• Architect and manage distributed compute grids on public cloud platforms (AWS/GCP) to execute financial pricing models.
• Design and implement task orchestration layers to distribute millions of tasks across hundreds of thousands of CPU/GPU cores.
• Monitor, tune, and optimize platform performance, cloud cost efficiency, and resource utilization.
• Deploy, version-control, and integrate quantitative pricing models into production in collaboration with quant development teams.
• Build data logistics pipelines to deliver market data, trade data, and model configurations to runtime engines seamlessly.
• Maintain high availability, fault tolerance, and strict recovery time objectives (RTO) for the valuation engine.

3. Core Requirements & Eligibility

• Experience: 10+ years of professional experience building and running applications on massive-scale compute grids.
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
• Domain Exposure: Financial industry experience, specifically with pricing grids, Monte Carlo simulations, VaR (Value at Risk) calculations, or XVA pricing models, is highly preferred.
• Location/Setup: On-site / Hybrid work setup based in Pune or Chennai.

4. Skillset Breakdown

• Primary (Must-Have):
• Cloud Platforms: AWS or GCP
• Orchestration & Containerization: Kubernetes, Docker, AWS Batch, or GCP Batch
• Core Programming: Python
• Infrastructure & Systems: Distributed Systems, High-Performance Computing (HPC), Infrastructure-as-Code (IaC)

• Secondary (Nice-to-Have):
• GPU computing / CUDA
• Financial Quant domain (VaR, XVA, Monte Carlo)
• Serverless compute architectures
• Cloud cost management / FinOps