Role: Application Reliability Engineer

Location: Gurgaon

Who we are

Graviton Research Capital is a privately funded quantitative trading firm striving for excellence

in financial markets research. We trade across a multitude of asset classes and trading venues

using a diverse range of concepts, from time series analysis and stochastic models to machine

learning and statistical inference. We analyse terabytes of data to identify pricing anomalies

and drive innovation in financial markets.

Key Responsibilities and Deliverables

The ideal candidate will possess a strong background in technical support, with a passion for

problem-solving and a commitment to excellence. As an Application Reliability Engineer, you

will be responsible for:

Monitor production services and respond quickly to alerts, incidents, and outages to
ensure smooth operation and minimal downtime.
Monitor trading systems and infrastructure.,
Triage issues across trading support services, databases, and infra; escalate and
coordinate with the right owners, and drive root-cause analysis and ensure fixes are
implemented for long-term stability.
Serve as the first line of defense for trading operations.
Proactively identify, address recurring issues, and build automation to reduce manual
intervention.
Improve observability by enhancing monitoring, logging, and alerting systems.
Develop and maintain operational runbooks and SLO/SLA metrics.

Eligibility and Required Skills

Possess a degree in a highly analytical field, such as Engineering, or Computer Science

2-5 years of experience in Python, Shell/Bash scripting.

Experience with Linux and shell/bash online tools.

Hands-on experience with databases (SQL, NoSQL)

Strong problem-solving and analytical skills

Excellent communication skills

Ability to remain calm and analytical under production pressure

Good to have:

Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.)

Familiarity with distributed messaging (Kafka) and caching systems (Redis)

Experience with CI/CD pipelines and deployment automation.

Prior experience in a support, SRE, or production engineering role.