Senior Software Engineer

Graviton is a quantitative investment firm established in 2014. Since our inception, we have created a team of researchers, portfolio managers, and technologists. The use of quantitative analysis and insights in financial markets enables us to compete in some of the most complex and competitive products. We have a team of passionate engineers and traders who have built some of the fastest systems for trading. We have some of the most accomplished quantitative traders in India.

We are currently seeking a Senior Software Engineer based in Gurugram, India to join our growing technology team. Further details of the role are outlined below.

What You Will Do:

• Build operations monitoring tools- real-time dashboards, health monitoring, WebSocket-based status updates
• Develop AI-powered automation- Slack/Jira bots with LLM integration, automated incident response
• Build data pipelines- ingest metrics from multiple sources (OpsGenie, AWS SQS, Graphite), transform and store operational data
• Enhance observability stack- Prometheus exporters, Grafana dashboards, alerting systems
• Reduce operational toil automate workflows, self-service tools, background task processing

What You Need to Succeed

• 5-8 years of strong proficiency in Python and web application development (Django/Flask/FastAPI)
• Strong understanding and opinions on RESTful API development, and Real-time systems - WebSockets, event-driven architectures, message queues (Redis, Celery)
• Database experience - PostgreSQL/MySQL, complex queries, ORMs, migrations, optimization
• Linux/Unix proficiency - shell scripting, process management, debugging
• Docker - multi-container applications, docker-compose
• Git - version control, code review workflows
• Observability fundamentals - metrics, logging, alerting (Prometheus, Grafana)
• Strong problem-solving skills - debugging distributed systems independently

Why Join Graviton?

• Work in a high-performance, data-driven trading environment.
• Collaborate with some of the brightest minds in quantitative finance and technology.
• Competitive compensation and opportunities for professional growth.