Senior Software Engineer - Detection & Discovery
Listed on 2026-10-18
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Software Development
Cloud Engineer - Software, Software Engineer, DevOps, AI Engineer (Applied/Software)
Atlanta, Georgia
Strength in TrustOne Trust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, One Trust is once again redefining what responsible innovation looks like.
One Trust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse sted by thousands of organizations worldwide, One Trust is shaping the future where trusted data becomes a transformative force for business and society.
Enterprises need dependable visibility into both the data they hold and the AI they use. One Trust’s Detection & Discovery team owns and actively maintains Data Discovery and Data Catalog capabilities while expanding discovery of AI models, agents, and related cloud resources. Customers rely on these systems to find, understand, and govern assets across complex environments.
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.
Your MissionData Discovery & Data Catalog
Own 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.
Design 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…
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