Lead Engineer

Job Title: Lead Cloud HPC Engineer, Massive-Scale Pricing Engine (C12)

Location: Pune, Chennai (Hybrid)

Key Responsibilities

• Architect, build, and manage a massive-scale, 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 CPU/GPU 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're Looking For

• 10+ years of professional experience with a proven track record of designing, building, and running applications on massive-scale compute grids.

• Expert-level, hands-on 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 high-performance computing, such as C++ and Python.

• Prior experience in a similar role within the financial industry (e.g., 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 infrastructure-as-code principles.

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

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

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