Application Reliability Engineer
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 4, 2026.
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.