Graviton Research Capital LLP

Application Reliability Engineer

Graviton Research Capital LLP
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2 months ago
Gurgaon, IndiaMid Level / Senior

Responsibilities

  • Monitor production services, trading systems, and infrastructure and respond to alerts, incidents, and outages.
  • Triage issues across trading support services, databases, and infrastructure, escalating and coordinating with appropriate owners.
  • Drive root-cause analysis and ensure fixes are implemented for long-term stability.
  • Serve as the first line of defense for trading operations.
  • Identify recurring issues and build automation to reduce manual intervention.
  • Improve observability through monitoring, logging, and alerting enhancements.
  • Develop and maintain operational runbooks and SLO/SLA metrics.

Requirements

  • Degree in a highly analytical field such as Engineering or Computer Science.
  • 2–5 years of experience with Python and Shell/Bash scripting.
  • Experience with Linux and shell/Bash online tools.
  • Hands-on experience with SQL and NoSQL databases.
  • Strong problem-solving and analytical skills.
  • Excellent communication skills and the ability to remain calm and analytical under production pressure.
  • Familiarity with Prometheus, Grafana, ELK, Kafka, and Redis is preferred.
  • Experience with CI/CD pipelines and deployment automation is preferred.
  • Prior support, SRE, or production engineering experience is preferred.

Tech Stack

Apache KafkaBashGrafanaLinuxPrometheusPythonRedisSQL

Categories

Site Reliability
Graviton Research Capital LLP

About Graviton Research Capital LLP

501-1,000 employees

Graviton Research Capital LLP is a privately held quantitative trading firm that builds low-latency systems and data pipelines to trade electronically across global asset classes. It operates on proprietary capital, generating revenue from market making and statistical/arbitrage strategies rather than external clients. Founded in 2014 and headquartered in Gurugram, India, its teams of researchers and engineers focus on high- and medium-frequency strategies using AI/ML and advanced software.

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