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NK Securities Research

Trade Operations Engineer

Gurugram, Haryana, India

Apply on NK Securities Research’s site ↗View original ad
Location
Gurugram, Haryana, India
Work
Not stated
Employment
Not stated
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
16 months ago

About the role

About the Role

We are looking for a Trade Operations Engineer to join our operations team at NK Securities. This is a hands-on role where you'll help make sure our trading systems are ready every day. You’ll work closely with our tech and trading teams to keep things running smoothly.

This is a great opportunity for someone who wants to learn, grow, and take on more responsibility over time. You will be trained by experienced team members and have the chance to lead the operations team in the future.

What You’ll Do

  • Perform daily system checks and ensure everything is running fine before markets open
  • Monitor trading systems and raise alerts if anything looks off
  • Write and improve scripts (mostly in Bash and Python) to reduce manual work
  • Coordinate with tech and trading teams for any issues or updates
  • Work on frontend tools if needed (basic web frontend knowledge is a plus)
  • Take ownership of tasks and make sure nothing is missed

What We’re Looking For

  • Good knowledge of Bash and Python
  • Basic understanding of frontend (HTML/JS/CSS or React is a bonus)
  • Willingness to learn and work hard
  • Responsible and reliable – our systems need to be up and running on time
  • Someone who likes solving problems and automating boring stuff
  • Freshers or candidates with 0–2 years of experience are welcome

Why Join Us

  • Work in a fast-paced and exciting HFT environment
  • Learn directly from experienced developers and traders
  • Opportunity to grow into a leadership role in the ops team
  • Flat team structure – your work will be noticed and appreciated
  • Competitive salary and good learning curve

Source

Posted by NK Securities Research on their own hiring page, job-boards.eu.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 04:20 UTC; the original is the reference.

View the original ad ↗

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