Staff Software Engineer - AI Governance

We'relooking for a Staff Software Engineer with a passion for solving problems to join our agile AI Governance team atOneTrust. Staff Software Engineersare responsible fordeveloping, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform.

Development

• Support development of Java microservices/Libraries while integrating with Jira, Jira Service Management, Slack, Microsoft Teams, SaaS providers, and AI solutions such as Claude Code, ChatGPT/Codex, and Cursor forOneTrust'sAI Governance product.
• It will involve the designing, development, and unit testing of applications deployed to MS Azure with cloud application architecture using Core Java, REST, and the Spring ecosystem.
• Contribute to the design of reusable integration patterns, API contracts, authentication, error handling, and data translation across external systems.
• Help evolve the AI Governance registry and integration capabilities, including entity resolution, workflow integrations, evidence generation, and administrator-facing AI experiences.
• Achieve at least 80% code coverage or per the revised standards set by the team.

Collaboration

• Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and driveteam'sdiscussions on system architecture andcomponentdesign.
• Collaborate with platform, security, legal, and customer-facing teams to deliver reliable and secure SaaS and AI-solution integrations.
• Support the team to ensure all committed stories for the sprint are completed per the sprint goal.

Support

• Work toward reducingtotalnumber of defects in the module/product to industry standards by catching and fixing issues early in development.
• Ensure critical and high priority CII's are delivered per SLA.
• Help ensure integrations remain reliable as external APIs, SaaS products, and AI solutions evolve.

Code Review

• Conduct peer reviews to improve code quality.
• Help junior developers follow development testing, exploratory testing, AI testing and/or test automation.

Lead

• Help build high-performing teams by mentoring the teamonnew technical skills.

• A hands-on experienced engineer who enjoys solving ambiguousplatformand integration problems.
• A systems thinker who can connect product outcomes, domain models, APIs, external systems, and operational behavior.
• A pragmatic architect who knows when to build, when to reuse, and how to avoid long-term integration debt.
• A clear communicator who asks questions to clarify gaps in understanding and makes decisions visible.
• Comfortable working across product, engineering, security, legal, and customer-facing stakeholders.
• Motivated by building trustworthy governance capabilities for rapidly evolving AI systems.

• Bachelor's or master'sdegree in computer science, engineering, ora relatedtechnical or business field.
• 8+ years of professional software engineering and software development experience.
• Extensive hands-on experience with object-oriented design, Java, design patterns, Spring, SQL, web services, and REST APIs.
• Strong experience designing, building, and operating integrations with external platforms, SaaS applications, workflow systems, and AI solutions such as Jira, Jira Service Management, Slack, Microsoft Teams.
• Experience integrating with AI tooling and agent platforms (for example Claude Code, Cursor, Codex, or MCP-based systems) orcomparablerapidly-evolvingthird-party APIs.
• Hands-on experience with identity and access management for integrations, including SSO using SAML or OIDC, OAuth, service accounts, API keys, token scopes, roles and claims, role-based access control, and secure credential management.
• Experience working with webhooks, pagination, rate limiting, retries, idempotency, schema versioning, authentication expiration, external API changes, and customer-specific configuration.
• Experience building distributed systems, asynchronous workflows, event-driven services, or data-ingestion pipelines using technologies such as Kafka or comparable tools, with SQL and NoSQL databases.
• Experience with data modeling and data quality for systems that exchange information across multiple external platforms.
• Experience with CI/CD, automated testing, production monitoring, incident response, Agile development practices, and scripting with Python.
• Ability to learn and use a wide variety of open-source technologies and enterprise SaaS platforms.
• Comfort operatingahead of certainty running discovery work (customer conversations, competitive and regulatory research, feasibility spikes) to resolve open questions before committing engineering.
• Experience owning a multi-quarter technical roadmapacross teams, including build-versus-reuse decisions on shared platform infrastructure where the wrong call creates long-lived duplication.

Extra Awesome

• Experience with connector frameworks, integration-platform-as-a-service products, workflow engines, or developer platforms, including reusable connector contracts and clear Sensor, Workflow, and Evidence patterns.
• Experience normalizing heterogeneous external data into a common domain model, including entity resolution, matching, deduplication, or identity/entity graphs.
• Experience designing workflow integrations that preserve the product's source of truth while synchronizing status and actions with external systems.
• Experience evaluating shared integration frameworks and making practical build-versus-reuse decisions.
• Experience with MCP servers, agent platforms, administrator-facing AI assistants, or AI-enabled enterprise applications.
• Experience with AI observability, OpenTelemetry, LangSmith, model gateways, runtime telemetry, or post-market monitoring.
• Experience working with privacy, security, GRC, audit, risk, or regulatory data.
• Experience designing systems that require human review, attestation, immutable evidence, versioned artifacts, or strong audit trails.