Employer description & source details
This role is intentionally balanced between strengthening the Data Discovery and Data Catalog pipeline and advancing AI Detection & Discovery. You will provide hands-on technical leadership across both: sustaining and improving mature production capabilities while building the next generation of AI discovery. Identify and deliver practical opportunities to apply AI across discovery and catalog workflows, improving automation and customer value where it makes sense. Design and build Java services, APIs, and reusable connectors that discover AI models, agents, and related resources across cloud and AI platforms. 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. Collaborate with Product, UX, Security, Platform, and customer-facing teams; mentor engineers and influence practices beyond your immediate projects. A hands-on technical leader who can balance investment in new capabilities with stewardship of mature, business-critical software. You bring sound judgment to complex systems, work comfortably across architecture and implementation, and help teams deliver improvements without losing sight of reliability and customer impact. Working knowledge of networking and connectivity troubleshooting, including DNS, TLS, HTTP, and proxy or firewall paths. Strong knowledge of distributed systems and workflow or event-driven architectures, including failure handling, retries, idempotency, and observability. Demonstrated ability to lead technical strategy across teams, guide architecture decisions, and deliver complex initiatives while remaining effective in code and design reviews. Experience with data discover
Extracted skills: java, aws, azure, kubernetes, machine learning, security, operations