About the Role
As a Senior Principal Software Engineer, you will serve as a technical leader for OneTrust’s AI Governance platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities.
Your Mission
Development
- Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust’s AI Governance product.
- Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
- Build features with RAG, agent workflows, and model orchestration.
- Own technical design for critical systems, ensuring scalability, security, and reliability.
- Maintain strong automated unit/integration test coverage and engineering standards. 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 drive team’s 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.
Support
- Reduce defects by identifying and addressing issues early in the development lifecycle.
- Ensure critical and high priority CII’s are delivered per SLA.
- Promote early defect detection through strong design and testing.
- Improve system monitoring, resilience, and operational maturity.
Code Review
- 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.
Lead
- Help build high-performing teams by mentoring the team on new technical skills.
- Influence technical strategy and long-term platform direction.
- Build a culture of ownership, learning, and engineering excellence.
Your Experience Includes
- Bachelor's or master's degree in computer science, Engineering, or related technical or business field.
- 12+ years of professional software engineering/development experience.
- Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems.
- Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads.
- Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices.
- Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock etc.
- Experience with elastic search and data streaming tools like Kafka.
- Good understanding of web services and SOA related standards like REST/OAuth/JSON.
- Moderate understanding of code and script (Python, Bash).
- Good experience with SQL and NoSQL databases.
- Agile development (Scrum, XP, or Pair Programming) experience.
- Ability to use a wide variety of open-source technologies and cloud services.
- Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS).
Extra Awesome
- Experience with different databases (Relational and document) is a strong asset.
- Familiarity with continuous integration and continuous deployment (CI/CD) tools.
- Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
- Background in enterprise, regulated, or security-focused environments.