Application Reliability Engineer

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a skilled Application Reliability Engineer to **be the first line of defense for ensuring the reliability, availability, and performance of our databases, services, and trading support systems. **You’ll not only monitor, troubleshoot, and resolve production issues, but also build automation, improve observability, and drive long-term stability of mission-critical systems. You’ll work closely with developers, traders, and infrastructure teams to triage issues, manage deployments, and continuously improve operational workflows.

The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence.

As a 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.

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science
• Upto 2 years of experience in Python, Shell/Bash scripting.

Experience with Linux and shell 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