O

OneTrust

Subscription-based data privacy and governance platform

Senior Staff Software Engineer - AI Governance

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

About the Job

Requirements

  • A bachelor's or master's degree in computer science, engineering, or a related technical or business field.
  • At least 12 years of professional software engineering and development experience.
  • Strong expertise in Java/J2EE, Spring, Python, design patterns, microservices, and cloud-native distributed systems.
  • Experience leading reusable platform, reporting, analytics, or data products that support multiple teams or dashboards.
  • Hands-on experience with Cube.js, semantic layers, metric layers, or comparable metric/query abstraction systems.
  • Hands-on experience with Apache Flink for real-time stream processing, windowed aggregation, event correlation, or derived-metric generation.
  • Experience designing event-driven services and data-ingestion pipelines using Kafka, including integrations with SQL databases, analytical platforms, APIs, and observability systems.
  • Strong experience with data modeling, dataset contracts, pre-aggregation, read models, caching, query optimization, and data-quality controls.
  • Experience building secure, multi-tenant SaaS platforms with tenant isolation, authentication, authorization, and secure service-to-service communication.
  • Experience working with AI/LLM platforms and production AI workloads, including model orchestration, retrieval-augmented generation (RAG), evaluation, guardrails, or runtime observability.
  • Understanding of REST, OAuth, JSON, SQL, NoSQL databases, and Python or Bash scripting.
  • Experience with CI/CD, automated testing, production monitoring, incident response, and Agile development practices.
  • Experience with Azure, AWS, Google Cloud, and open-source technologies.
  • Ability to lead multi-quarter roadmaps, make practical build-versus-reuse decisions, and align engineering, product, UX, security, platform, and observability teams.

Responsibilities

  • Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for the AI Governance product.
  • Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
  • Lead the architecture and development of reusable AI Governance reporting and dashboard capabilities integrating governance data from SQL databases and analytical platforms with runtime observability signals.
  • Design reusable semantic-layer and metric-abstraction capabilities, including dataset contracts, metric definitions, query APIs, pre-aggregation, caching, filtering, time-period selection, and drill-down workflows.
  • Lead event-driven integrations using Kafka and Apache Flink to consume normalized observability events and produce dashboard-ready datasets and derived metrics.
  • Integrate with the AI Observability platform through APIs and data contracts for runtime metrics, logs, traces, alerts, policy decisions, and evidence.
  • Own technical design for critical systems, ensuring scalability, security, and reliability.
  • Partner with frontend engineers to build reusable dashboard shells, visualization components, filters, data tables, and entity drill-down experiences.
  • Maintain strong automated unit and integration test coverage in line with team standards.
  • Work with UX, Product Managers or Product Owners, and developers in planning and grooming sessions, and drive discussions on system architecture and component design.
  • Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
  • Lead architecture discussions and technical planning.
  • Drive alignment across teams on platform design and priorities.
  • Contribute to sprint planning and delivery.
  • Reduce defects by identifying and addressing issues early in the development lifecycle.
  • Ensure critical and high-priority CII items are delivered per SLA.
  • Promote early defect detection through strong design and testing.
  • Improve system monitoring, resilience, and operational maturity.
  • Set standards for clean, secure, and maintainable code.
  • Conduct thorough reviews for distributed and AI-enabled systems.
  • Guide engineers on testing, automation, and AI system validation.
  • Mentor the team on new technical skills.
  • Influence technical strategy and long-term platform direction.
  • Build a culture of ownership, learning, and engineering excellence.
  • Lead multi-quarter technical roadmaps across teams and make practical build-versus-reuse decisions.

Desired Qualifications

  • Experience with OpenTelemetry, VictoriaMetrics, Prometheus/MetricsQL, Grafana Loki/LogQL, Grafana Tempo/TraceQL, Alertmanager, or Open Policy Agent.
  • Experience integrating with Databricks, Delta Lake, Power BI, or other analytical data platforms.
  • Experience building configurable dashboard systems, data visualization frameworks, or design-system-based frontend platforms.
  • Experience with AI governance, model risk management, compliance, GRC, audit evidence, or regulatory reporting.
  • Experience with graph data models, dependency maps, entity resolution, or supply-chain analysis.
  • Experience designing SDK telemetry, model gateways, runtime instrumentation, or post-market monitoring.
  • Proficiency in Kubernetes, including cluster deployment, scaling, and management.
  • Background in enterprise, regulated, or security-focused environments.

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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