Posting record
Open 16+ days
- Graviton's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Graviton, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- 2–5 years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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.
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