D
IT(Software/Hardware)

Lead, Tech - Python Infrastructure (Advanced Python / C/C++ / Cython / Numba / Parallel Computing)

D. E. Shaw India

Role Overview

D. E. Shaw India is hiring a Lead, Tech for its Python Infrastructure team within the Core Tech group, based across its offices in Hyderabad, Bengaluru, or Gurugram. In this systems-level infrastructure engineering role, you will build and evolve the foundational Python platform that powers critical trading, analytical, and operational applications across the firm. The role focuses on delivering high-throughput computing frameworks, building low-latency data storage and retrieval engines, enabling grid-based parallel programming, and optimizing core libraries using lower-level systems programming and compilation techniques.

Core Responsibilities

  • Core Infrastructure Architecture: Design, implement, and maintain foundational software libraries, services, and tooling in Python used enterprise-wide.
  • Low-Level Performance Optimization: Profile and accelerate core Python components utilizing lower-level systems languages (C, C++), Cython, Numba, and JIT/AOT compilation techniques.
  • High-Performance Data Storage: Architect and optimize low-latency data structures, analytical compute engines, and storage/retrieval layers for massive financial datasets.
  • Parallel & Grid Computing: Engineer distributed grid computing interfaces and parallel programming frameworks to scale compute-intensive workloads seamlessly.
  • Internal Platform Frameworks: Develop reusable web server engines, unit testing frameworks, and automated technical documentation pipelines for engineering teams across the organization.
  • Engineering Excellence: Champion robust computer science principles, clean code design, and strict quality benchmarks across internal platform releases.

Qualifications & Requirements

  • Educational Background: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a closely related quantitative field with an impressive academic record.
  • Professional Experience: 4 to 6 years of solid, hands-on software development experience specializing in advanced Python and systems infrastructure.
  • Computer Science Foundations: Deep technical mastery of data structures, algorithms, operating system fundamentals, memory models, and distributed systems.
  • System Optimization (Preferred): Proven ability or working knowledge in C, C++, Cython, Numba, or ahead-of-time (AOT) and just-in-time (JIT) compilation techniques to push Python performance boundaries.
  • Software Engineering Craft: Strong analytical problem-solving skills, architectural design capabilities, and experience building modular, reusable libraries.
  • Career Restart: Candidates with relevant background seeking to resume their professional engineering careers after a career break are actively encouraged to apply.

About D. E. Shaw

The D. E. Shaw group is a global investment and technology development firm founded in 1988, recognized worldwide for pioneering quantitative finance and computational investment strategies. Operating at the intersection of advanced mathematics, world-class software engineering, and global financial markets, the firm fosters an intellectually curious and collaborative engineering culture.

Important Candidate Notice

This job posting and its descriptions are owned by D. E. Shaw India . We provide this overview to help developers discover opportunities. For applications, responses, or follow-ups, please connect with D. E. Shaw India directly. Job Central Hub does not process applications or review candidate queries.

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Overview
Expected Salary ₹35 - ₹65 Lakhs/Annum
Experience Required 4 - 6 Years
Last Date to Apply Continuous Recruitment
Posted On 06-11-2026
Mandatory Skills
Advanced Python Data Structures & Algorithms Distributed Systems Parallel Programming Low-Level Optimization Server Infrastructure Unit Testing Frameworks Grid Computing Data Storage & Retrieval Performance Profiling
Preferred Skills
C C++ Cython Numba JIT Compilation AOT Compilation Linux Internals Memory Management Compiler Optimization