
Principal Engineer
About OPAQUE
OPAQUE is the Confidential AI company. Born from UC Berkeley’s RISELab, we solve the core challenge blocking AI adoption at scale: security concerns about data leaks or compliance violations. OPAQUE provides verifiable privacy and governance for AI so organizations can safely run models, agents, and workflows on their most sensitive data. Its Confidential AI platform delivers verifiable runtime governance backed by cryptographic proof that data, models, and agent actions remain private, governed, and compliant with approved policies throughout every AI workflow. This extends traditional data governance tools with real runtime verification, enabling teams to responsibly deploy AI using their most valuable proprietary data, and move from pilot to production 4-5X faster. Customers and partners include ServiceNow, Anthropic, Encore Capital, Accenture, and leaders across high tech, financial services, insurance, and healthcare.
Learn More at Opaque.co
Read about our Values at Opaque.co/about
About the Role
As a Principal Engineer at Opaque Systems, you will play a critical role in shaping the architecture and driving the technical direction of the OPAQUE platform. You’ll collaborate closely with cross-functional teams to design, develop, and scale solutions for confidential AI. This is an opportunity to solve complex technical challenges while making a significant impact on the development of next-generation technologies.
Key Responsibilities
- Lead the design, architecture, and implementation of core software components for Opaque’s confidential computing platform.
- Collaborate with product, engineering, and data science teams to deliver scalable, high-performance, and secure solutions.
- Drive technical excellence across the engineering team, setting best practices for coding, architecture, testing, and deployment.
- Mentor and guide junior engineers, fostering a culture of continuous improvement and technical innovation.
- Work closely with stakeholders to define technical requirements and ensure alignment with business objectives.
- Optimize system performance, scalability, and fault tolerance while ensuring the security and privacy of data in all phases of computation.
- Stay ahead of industry trends and advancements in software architecture, confidential computing, and distributed systems.
- Act as a key decision-maker in technical strategies, contributing to both tactical and strategic goals.
Qualifications
- 10+ years of software engineering experience, with a focus on distributed systems, cloud computing, or security.
- Deep expertise in system architecture and design, with a strong understanding of scalability, fault tolerance, and performance optimization.
- Proficiency in modern programming languages (e.g., Java, Go, Rust, Python).
- Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
- Strong understanding of security protocols, cryptography, and confidential computing principles.
- Proven track record of delivering large-scale, high-performance, and secure software systems.
- Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
- Strong communication skills, with the ability to collaborate effectively across technical and non-technical teams.
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