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About the Role
We are hiring a Principal Engineer to integrate the open agent-governance stack into the core of our platform. This deeply technical, customer-facing role spans software and silicon, involving end-to-end integration, shipping platform offerings, representing OPAQUE in standards communities, and transitioning open-source specifications to scaled, attested products.
Responsibilities
- Own the integration of the open agent-governance stack (Confidential MCP, Agent Manifest, TRACE) into OPAQUE Agent Control and OPAQUE Confidential Core, bound to hardware attestation and TEEs (AMD SEV-SNP, Intel TDX, NVIDIA Confidential Computing).
- Make policy enforcement and verifiable evidence run inside the TEE, creating a governed agent workflow that emits a single hardware-rooted, independently verifiable record.
- Production-harden and scale the confidential agent path across multi-cloud Confidential Containers (AKS, GKE) to meet enterprise reliability and latency targets.
- Ship platform offerings such as OPAQUE Confidential MCP and OPAQUE Confidential Agents on top of the established foundation.
- Work directly with customers to transform their most challenging confidential-AI problems into platform capabilities.
- Represent OPAQUE as a technical contributor in foundations that standardize this work (Agentic AI Foundation, CoSAI), including upstream contributions, spec influence, and community credibility.
- Make open-source-to-product decisions regarding hardening, experimental features, and upstream contributions.
Requirements
- 10+ years building production systems, with depth across both application software and low-level/systems work.
- Hands-on confidential computing / TEE experience (SEV-SNP, TDX, NVIDIA CC) and fluency in attestation (RATS, EAT, measured boot, key release on attestation).
- Strong cryptographic engineering fundamentals.
- Fluency in Go and/or Rust; comfort in Python and agent frameworks (LangChain, LangGraph, CrewAI, AutoGen).
- Experience scaling distributed systems on Kubernetes, ideally multi-cloud.
- Demonstrated customer curiosity: starting from the user’s problem and working back to the architecture.
- A track record in open source and standards: shipped meaningful upstream work and can represent a company technically in a community.
- Prior work in agent governance, policy engines (Cedar), SBOM/supply-chain, or verifiable credentials is a plus.
Skills
- Confidential Computing
- TEE (AMD SEV-SNP, Intel TDX, NVIDIA Confidential Computing)
- Attestation (RATS, EAT, measured boot, key release on attestation)
- Cryptographic Engineering
- Go
- Rust
- Python
- Agent Frameworks (LangChain, LangGraph, CrewAI, AutoGen)
- Distributed Systems
- Kubernetes
- Open Source
- Standards
- Agent Governance
- Policy Engines (Cedar)
- SBOM/Supply-chain
- Verifiable Credentials
Location
- Remote
Work Type
- Full-time
Experience Level
- Principal
- 10+ years
About the Company
- OPAQUE is the Confidential AI company, solving the core challenge blocking AI adoption at scale: security concerns about data leaks or compliance violations.
- OPAQUE provides verifiable privacy and governance for AI, enabling organizations to 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