Software Engineer job opportunity at Weekday AI.



Date2026-01-23T11:36:33.444Z bot
Weekday AI Software Engineer
Experience: 0-years
Pattern: Full-time
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loacation Gurugram, India
loacation Gurugram....India

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. 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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