Senior Database Reliability Engineer
at Modulrfinance
Pune, onsite, senior
posted 16 Sept 2026
- RDS
- PostgreSQL
- PgBouncer
- RDS Proxy
- SRE
- Amazon Aurora
- Bash
- AWS
- Python
- Kubernetes
About the role
Posted: 2026-09-16
Senior Database Reliability Engineer
- Are you curious, excited by experimentation and always looking to innovate?
- Do you want to work in embedded payments where you can keep learning and developing whilst getting hands-on experience?
- Do you want to have the opportunity to play an important role in a rapidly growing and exciting Fintech business?
If so, we would love to connect and collaborate!
Modulr is a B2B embedded-payments platform operating at scale in a regulated environment. As we evolve our core data architecture, we’re hiring our first dedicated Database Reliability Engineer to raise the operational resilience of our payments platform.
This is a hands-on role for someone who thinks like a Site Reliability Engineer but has deep database expertise — someone who wants to make a large, busy production estate observable, diagnosable, and safe to operate, and to be the database voice that shapes how we scale. It carries a clear path toward a data-architecture mandate as the platform matures.
What you would do
- Own the reliability, performance, and observability of our production databases (primarily PostgreSQL / Amazon Aurora), so that issues are seen and understood in minutes, not hours.
- Lead deep-dive diagnosis of production incidents — query performance, lock and wait-event analysis, connection-pool behaviour, blocking sessions — and turn findings into lasting fixes and runbooks.
- Build proactive guardrails: query and statement timeouts, connection-pool standards, slow-query and contention alerting, capacity and saturation monitoring.
- Partner with engineering squads to design schemas, indexes, and access patterns that scale, and to enforce safe database practices in their services.
- Contribute the database-reliability perspective to significant platform-evolution work, including separation of read and write paths and the decomposition of shared database components.
- Improve our database observability tooling and dashboards so reliability is measurable and trends are visible before they become incidents.
- Help embed a culture of operational excellence, blameless post-incident review, and continuous improvement.
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