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Salary
$21k – $47k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 2+ years exp
Overview
Company
Impact
Profile match
D. E. Shaw is an investment and technology development firm headquartered in New York City and founded in 1988 by David E. Shaw. The firm runs quantitative and discretionary strategies across equities, credit, macro, and private markets, building its own research and trading systems in house. It manages tens of billions of dollars, is known for hiring heavily from mathematics and computer science, and has spun out several notable technology founders.

As a member of the Private Credit India team, you will provide on-demand frontline support for Private Credit's production applications and infrastructure monitoring services, triaging issues and debugging across application, data, and system layers. You will support software deployments and configuration changes with minimal business impact, own incidents end-to-end, and coordinate with engineering, infrastructure, business users, and third-party vendors during critical issues. You will also maintain the team's ops documentation and request system and use scripting along with LLMs and AI-assisted tools to

automate repetitive tasks and continuously improve operational efficiency.

Requirements:

  • A graduate degree in Bachelor/Master of Technology in Computer Science or other related fields.
  • 2 to 4 years of professional work experience.
  • Significant experience in the OOP paradigm (Python), with a robust background in Data structures and Algorithms with experience on Linux.
  • Excellent analytical and problem-solving skills and must have the ability to execute projects end-to-end.
  • Excellent interpersonal and communication skills for effective collaboration with technical and non-technical stakeholders.

Preferred qualifications:

  • Prior experience in the finance domain, particularly in private credit, fixed income, or capital markets; exposure to CI/CD pipelines.
  • Experience using LLMs or AI-assisted developer tools (e. g., Claude Code, Copilot) to accelerate ops and automation work.
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