Senior Database Reliability Engineer
- Location Pune
- Experience 5+ yrs
- Job type Full-time
- Posted 9 Oct 2026
You will be taken to Qualys’s own careers page to apply. Job ID R0005130.
Job description
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Senior Database Reliability Engineer (DBRE) - Data Platform OpenSearch Must-Have | Kafka | Redis | Python Automation | Production Reliability Level Senior DBRE (Senior Individual Contributor) Domain Distributed Data Infrastructure Primary Focus Hands-on reliability and operational ownership for assigned OpenSearch/Elasticsearch, Kafka, and Redis services; Python automation and disciplined production execution Work Expectations U.S. Eastern Time business hours; on-call participation as required
1. Role Summary We are seeking an experienced Senior DBRE to improve the reliability, performance, scalability, and automation of mission-critical distributed data platforms. OpenSearch/Elasticsearch is the core must-have technology, complemented by production experience with Kafka, Redis, Linux systems, observability, and Python automation. This is a hands-on role. The Senior DBRE independently operates assigned clusters and services, troubleshoots production issues, performs upgrades and lifecycle work, builds practical automation, and contributes to platform design and production-readiness standards.
2. Level Scope and Leadership Expectations The Senior DBRE is a high-impact hands-on engineer focused on independent execution within an assigned platform scope. Senior engineers solve common and moderately complex production problems, improve automation and runbooks, and contribute to designs and standards while escalating broader architectural decisions appropriately.
Expectation at This Level Scope of Ownership Owns assigned clusters, services, maintenance activities, incidents, upgrades, backup/restore, capacity reviews, and operational improvements with limited supervision. Technical Depth Diagnoses common and moderately complex issues involving shards, indexing, search, Kafka lag, Redis memory behavior, JVM, Linux, storage, and networking. Automation Builds and maintains tested Python tools, operational CLIs, API integrations, dashboards, alerts, and runbooks that reduce recurring toil. Execution Executes migrations, rolling upgrades, scaling, and DR exercises with change-management discipline and appropriate technical review. Collaboration Partners with Lead and Staff engineers, SRE, application, infrastructure, storage, network, and cloud teams; documents findings and communicates risks early. Architecture Influence Contributes evidence and operational experience to design reviews; does not independently set enterprise-wide platform architecture.