O

OneTrust

Subscription-based data privacy and governance platform

Senior Staff Software Engineer - Detection & Discovery

Backend EngineeringConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • At least 12 years of professional software engineering experience, including substantial hands-on development in Java and the Spring ecosystem.
  • A track record of designing and delivering distributed, cloud-native services and APIs used in production at enterprise scale.
  • Experience owning and evolving production software, including technical-debt reduction, critical issue resolution, and improvements to stability and reliability.
  • Hands-on experience debugging production services in Linux and Kubernetes environments.
  • Working knowledge of networking and connectivity troubleshooting, including DNS, TLS, HTTP, and proxy or firewall paths.
  • Experience building integrations with external platforms, including provider APIs, authentication and authorization, pagination, data mapping, and evolving API behavior.
  • Strong knowledge of distributed systems and workflow or event-driven architectures, including failure handling, retries, idempotency, and observability.
  • Experience designing secure, multi-tenant SaaS systems, including tenant isolation and secure service-to-service communication.
  • Demonstrated ability to lead technical strategy across teams, guide architecture decisions, and deliver complex initiatives while remaining effective in code and design reviews.
  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Responsibilities

  • 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 an engineering-quality initiative to reduce technical debt, address critical issues, and modernize code and architecture without compromising customer stability.
  • Improve 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 artificial intelligence across discovery and catalog workflows, improving automation and customer value where appropriate.
  • 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.
  • Participate 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.
  • Set 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 immediate projects.

Desired Qualifications

  • Experience with data discovery, data catalog, scanning, ingestion, or asset-inventory platforms.
  • Experience applying artificial intelligence or machine learning to discovery, data, or catalog workflows.
  • Experience with AI platforms and infrastructure, including discovery of models, agents, runtimes, tools, or related cloud resources.
  • Hands-on experience with AWS, Azure, or Google Cloud APIs and identity models; familiarity with Amazon Bedrock or AgentCore, Azure AI Foundry, or Vertex AI.
  • Experience with Java workflow orchestration frameworks such as Temporal, connector frameworks, or developer automation.
  • Experience with Kafka or other messaging technologies, CI/CD, and production operations for cloud-native services.
  • Familiarity with AI governance, security, privacy, compliance, or other regulated enterprise domains.

About the Company

OneTrust

Subscription-based data privacy and governance platform

OneTrust provides a cloud-based platform that helps organizations manage data privacy, governance, risk and compliance (GRC), ethics, and environmental, social, and governance (ESG) needs. It inventories and visualizes data (data sprawl), tracks where data is stored and how it’s used, and supports policies, consent, vendor risk, audits, and ESG reporting. Its subscription-based software combines multiple modules so customers can govern their data, comply with laws across regions, and address ethics and ESG responsibilities in one system. The company differentiates itself by offering a broad, integrated suite that covers privacy, governance, ethics, and ESG in a single platform rather than relying on piecemeal tools, enabling customers to manage data responsibly at scale. Its goal is to help businesses understand their data, stay compliant with regulatory requirements, and build trust with customers by governing data ethically and transparently.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Atlanta, GA
Founded
2016

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