Senior Staff Software Engineer - Detection & Discovery

Data Discovery & Data CatalogOwn the technical evolution and ongoing maintenance of Data Discovery and Data Catalog services and modules, including production support for capabilities customers depend on.Lead a major engineering-quality initiative to reduce technical debt, address critical issues, and modernize the code and architecture without compromising customer stability.Improve the stability, reliability, performance, and operability of the end-to-end discovery and catalog pipeline, from scanning and ingestion through cataloging and downstream use.Identify and deliver practical opportunities to apply AI across discovery and catalog workflows, improving automation and customer value where it makes sense.AI Detection & Cloud DiscoveryDesign and build Java services, APIs, and reusable connectors that discover AI models, agents, and related resources across cloud and AI platforms.Translate provider APIs, identity models, and resource structures into secure, consistent discovery contracts and normalized inventory data.Advance continuous, scheduled, and incremental discovery so changes to discovered assets are reflected accurately and promptly.Enable secure discovery across customer accounts, projects, subscriptions, and regions, and partner with AI Governance teams on asset and lifecycle integrations.Production Support & ReliabilityParticipate in customer-facing production-support calls for Data Discovery and AI Governance, including issues involving customer-managed or on-premises components.Troubleshoot complex issues across Java services, Linux environments, Kubernetes deployments, cloud integrations, and network connectivity; partner with Support, Operations, and engineering teams to mitigate customer impact.Drive incidents from investigation through root cause and durable corrective action, using findings to improve product stability, supportability, and documentation.Technical LeadershipSet architecture and lead multi-quarter initiatives from design through production adoption; make pragmatic build-versus-reuse decisions.Establish a high bar for code quality, design reviews, automated testing, and production readiness.Improve observability and operational maturity; use incident patterns and operational metrics to drive systemic improvements.Collaborate with Product, UX, Security, Platform, and customer-facing teams; mentor engineers and influence practices beyond your immediate projects.