Director,DBRE

Qualys; Maharashtra; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Qualys in Maharashtra, India, seeks a senior Data Platform Reliability leader to own SLOs/SLIs across Oracle/Exadata, Kafka, Cassandra, Hadoop, OpenSearch, Redis, Ceph, and Kubernetes, driving reliability and AI-driven automation.

You will lead cross-functional teams, set architecture direction, and build autonomous remediation, AI agents, and observability, ensuring production readiness and cost-efficient operations.

Qualifications

• Experience leading data platform reliability at scale.
• Strong knowledge of SRE practices, SLOs, SLIs and incident reviews.
• Ability to build AI-powered automation for operations.

Responsibilities

• Define and own SLOs, SLIs and error budgets across all data services.
• Lead blameless post-incident reviews and drive continuous improvements.
• Set multi-year roadmap for the data platform and guide cross-functional teams.

Skills

Oracle depth

Distributed systems

Data platform reliability

AI automation

Leadership & org development

Vendor management

Tools

Kafka

Hadoop

Cassandra

OpenSearch

Redis

Ceph

Kubernetes

Job description

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

The Opportunity

Qualys runs one of the largest and most complex data platforms in the enterprise security industry — a massive Oracle and Exadata estate at the core, surrounded by a self-managed open-source big data fabric: Kafka, Hadoop, Cassandra, OpenSearch, Redis, Ceph, and Kubernetes. These systems directly underpin the product SLAs we deliver to 10,000+ customers worldwide.

Core Focus Areas

This is a wide-scope role. Here is how candidates should prioritize their self-evaluation:

01 Oracle + Distributed Systems Technical Depth — Deep in one, strong across the other — enough to lead architecture and hold the team accountable

02 Data Platform Reliability & Incident Ownership — SLOs, escalation authority, DR, predictive capacity — the foundational mandate

03 AI-Driven Automation & Toil Elimination — Building and shipping agents, not just evaluating tools — measurable impact on MTTR and operational load

04 Team Leadership & Org Development — Managing :30 across ICs and managers; building culture, career ladders, and hiring bar

05 Vendor Management & Cost Optimization — Oracle relationship, licensing discipline, and infrastructure cost efficiency

What Makes This Role Unique

Breadth of scope, depth of ownership — You hold the charter for Oracle/Exadata AND the full open-source big data stack — accountable for reliability across all of it

Build AI systems, not just use them — We expect shipped production tooling — AI agents, autonomous remediation, intelligent observability — not proof-of-concept demos

Strategy and execution in equal measure — You will define the multi-year data platform roadmap and then make it happen — this is not a pure operations role

Real cross-functional influence — Data reliability touches every product team; this role earns authority through technical credibility, not org chart position

A platform worth modernizing — Battle-tested at scale, with genuine complexity — and a leadership team committed to doing it right

What You Will Build

Beyond running the platform, we expect this leader to leave a concrete engineering footprint. Examples of the systems we want this role to build and own:

• AI-assisted incident triage system — LLM-powered log analysis and alert summarization that cuts triage time from minutes to seconds
• Autonomous remediation agents — Self-healing workflows for common failure patterns — space exhaustion, replication lag, lock contention, consumer group lag — with safe human escalation fallback
• Natural-language operational query interface — Engineers ask questions in plain English; the system queries metrics, logs, and configuration state to answer
• Predictive capacity and anomaly models — ML-driven forecasting for Oracle tablespace growth, Kafka partition pressure, and Cassandra compaction backlog
• Reliability-as-code pipeline gates — Automated schema review, load test, and regression detection integrated into CI/CD so reliability issues are caught before production

What You Will Do

Own the Data Platform Reliability Charter

• Define and drive SLOs, SLIs, and error budgets across Oracle, Exadata, Kafka, Cassandra, Hadoop, OpenSearch, Redis, Ceph, and Kubernetes-hosted data services
• Serve as the final technical escalation point for all P0/P1 incidents; lead blameless post-incident reviews and