Director,DBRE

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

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.   We are looking for a Director of Database Reliability Engineering who combines deep technical craft with the leadership instinct to scale a team and the builder's mindset to ship systems that eliminate toil. You don't have to be the world's leading expert in every technology on the stack — but you must carry genuine depth in Oracle or large-scale distributed data systems, with strong working knowledge across the broader ecosystem, and the intellectual range to go deep where the situation demands it. We do not expect day-one mastery across every system; we expect depth in core areas and the proven ability to rapidly develop expertise where the platform needs it.   This role directly owns database platform operations and reliability practices, and influences adjacent infrastructure and application teams through technical credibility and cross-functional partnership. You will lead a team of ~30, serve as the final technical escalation point for the data platform, and shape the multi-year strategy for how Qualys builds, automates, and evolves its data infrastructure.   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