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David Careers

Production Engineer - Quantitative Trading (New York City Metropolitan Area)

Posted today

acquire meNew York (NY)
Computer Systems Engineers/ArchitectsPortfolio Management and Investment Advice

SENIORITY

Senior

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About the role

New York City Metropolitan Area (Hybrid) | Potential for London (Hybrid) Site Reliability Engineering | Production Engineering | Software Engineering My client is a leading quantitative trading firm bringing together exceptional Software Engineers, Computer Scientists and Technologists to develop some of the most sophisticated technology in the financial markets. They are looking to expand their Site Reliability Engineering function with strong, software-focused engineers who enjoy solving complex technical challenges across large-scale distributed systems, Linux infrastructure and performance-critical production environments. The firm places a strong emphasis on applying software engineering principles to infrastructure and reliability, with engineers developing automation, internal tooling and scalable solutions to improve system performance, resilience and operational efficiency. This is an opportunity to work alongside highly talented engineers in a technically challenging environment where strong programming ability, systems knowledge and creative problem-solving are highly valued.
Requirements:
  • Bachelor's degree in Computer Science, Engineering or STEM related subject
  • Strong programming proficiency in Python, C++, Go, Java or similar languages, with solid software engineering fundamentals.
  • Excellent knowledge of Linux, including operating systems, networking, debugging and performance analysis.
  • Experience with distributed systems, large-scale production environments or complex infrastructure.
  • Understanding of networking fundamentals, including TCP/IP, DNS and related protocols.
  • Experience developing automation tooling and applying software engineering principles to infrastructure challenges.
  • Familiarity with technologies such as Kubernetes, Docker, Terraform, Ansible or similar.
  • Strong problem-solving skills and an interest in understanding complex systems at a deeper technical level.
  • Previous experience within quantitative trading or financial services is not required.
The Opportunity: You'll join a collaborative, engineering-led environment working alongside highly talented technologists on complex, large-scale technical challenges. The firm offers significant technical ownership, exposure to cutting-edge infrastructure and the opportunity to make a direct impact on business-critical systems. Excellent opportunities for long-term career development. If this sounds like something you'd be interested in exploring, please apply to learn more or message me directly!

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