Weekday AI

Software Engineer

Weekday AI Gurugram, Haryana, India 1 day ago
engineering

This role is for one of the Weekday's clients

Min Experience: 0 years

Location: Gurgaon

JobType: full-time

This is an exciting opportunity for early-career Software Engineers to step into a Quant Developer role within a fast-growing investment management environment. The role focuses on building robust, high-performance backend systems that power quantitative and financial engineering workflows used directly in live market scenarios. You will work closely with highly skilled technologists and quantitative professionals, gaining hands-on exposure to real-world financial systems while strengthening your engineering and problem-solving capabilities.

Requirements

Key Responsibilities

  • Design, develop, and maintain backend systems using Python to support quantitative and financial engineering use cases
  • Build scalable, efficient, and reliable services used in production market environments
  • Collaborate with quantitative researchers and engineers to translate models and strategies into production-ready systems
  • Write clean, well-structured, and testable code with a strong focus on performance and reliability
  • Debug, optimize, and enhance existing systems to handle real-time and data-intensive workloads
  • Contribute to system design discussions and continuously improve engineering best practices
  • Ensure high code quality through reviews, testing, and adherence to software development standards

What Makes You a Great Fit

  • 0–2 years of experience in Python backend development or strong academic/project exposure
  • Bachelor’s degree in Computer Science or a related discipline, with strong fundamentals in data structures, algorithms, and systems
  • Excellent problem-solving ability and a solid understanding of core computer science concepts
  • Strong interest in quantitative systems, financial markets, or high-performance engineering environments
  • Ability to learn quickly, work in a fast-paced setting, and collaborate with technically strong teams
  • Passion for building systems that have direct, real-world impact in financial markets

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