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.
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.
Core Requirements & Eligibility
Experience: 10+ years of qualified 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: In office / Hybrid work setup based in Pune or Chennai.
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

📌 Lead Hpc Cloud Engineer Chennai
🏢 Straive
📍 Chennai