Senior Principal Software Engineer, OneTrust

• A senior technical leader withstrong systemdesign and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions
• 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)

Desirable

• 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
• 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