Staff Database Reliability Engineer (Pune)

Staff Database Reliability Engineer (Pune)

13 Oct
|
Qualys
|
Pune

13 Oct

Qualys

Pune

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world

Staff Database Reliability Engineer (DBRE) - Data Platform
OpenSearch Must-Have | Distributed Systems | Kafka | Redis | Capacity Engineering | Automation
Level
Staff DBRE (Senior Individual Contributor / Technical Lead)
Domain
Distributed Data Platforms
Primary Focus
Cross-team architecture and systemic reliability for OpenSearch-centered data platforms, with Kafka, Redis, capacity engineering, and Python automation
Work Expectations
U.S. Eastern Time business hours; on-call participation as required

1. Role Summary
We are seeking an experienced Staff DBRE with deep OpenSearch/Elasticsearch expertise and strong distributed-systems judgment. The role leads high-impact architecture, reliability, performance, scalability, capacity, and lifecycle improvements across major data-platform services, complemented by Kafka, Redis, Linux, observability, and Python automation.
The Staff DBRE solves ambiguous cross-team problems, establishes reusable platform patterns,



mentors senior engineers, and influences multiple engineering groups. The scope extends beyond a single cluster or incident while remaining hands-on and evidence-driven.
2. Level Scope and Leadership Expectations
Staff DBRE is a senior individual-contributor technical leadership role focused on solving ambiguous, high-impact reliability and architecture problems across platforms and teams. The role has broad influence within the data-platform domain, while enterprise-wide cross-domain strategy remains a Principal-level responsibility.
Dimension
Expectation at This Level
Scope of Ownership
Owns complex cross-team reliability, scalability, performance, capacity, architecture, and operational-maturity problems across major OpenSearch-centered platform services.
Technical Depth
Serves as a domain authority in OpenSearch and distributed-systems failure modes, with solid supporting depth in Kafka, Redis

📌 Staff Database Reliability Engineer (Pune)
🏢 Qualys
📍 Pune

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