Staff Engineer (CC)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Shape the technical direction of the core confidential computing platform, leading the design and implementation of core software components. Own end-to-end attestation services, integrate TEE technologies, and architect multi-cloud Kubernetes deployments with secure runtime governance. Define cryptographic standards, drive code quality and security reviews across the security engineering team, mentor junior engineers, and collaborate with product, engineering, and AI teams to deliver scalable, high-performance, privacy-preserving systems.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead the design, architecture, and implementation of core software components for the confidential computing platform.
•Design, implement, and maintain end-to-end attestation services and infrastructure.
•Lead integration of TEE technologies (CNCF CoCo and hyperscaler confidential computing offerings) with the OPAQUE platform.
•Design and operate multi-cloud confidential computing deployments at the Kubernetes platform layer, including runtime classes, TEE node pools, custom admission controllers, and service mesh security.
•Define and enforce cryptographic standards within TEE boundaries, drive security/correctness and side-channel level review standards, and mentor engineers.

Key Requirements

•10+ years of software engineering experience focused on distributed systems, cloud computing, or security.
•Deep hands-on experience with confidential computing/TEE technologies (e.g., CNCF CoCo).
•Fluency in attestation protocols, including quote generation/verification and standards such as RATS (RFC 9334) and EAT/EAR.
•Production-scale systems programming experience in Go and/or Rust; kernel modules, ioctl interfaces, or TEE SDK integration is a plus.
•Cloud-native platform depth with Kubernetes operators, custom admission controllers, runtime classes, and TEE workload orchestration across multiple clouds.

Experience:10+ yearsDistributed systemsCloud computingConfidential computingSecurity

Skills:ArchitectureDesignCommunicationMentorshipSecurity review

Languages:English

Tech Stack:GoRustCNCF CoCoRATSRFC 9334EATEARKubernetesKubernetes operatorsCustom admission controllersRuntime classesTEEService meshKernel modulesIoctlCryptographic engineeringKey derivationDigital signaturesAEAD

Company Brief

Opaque - Confidential AI Platform

Provides a confidential AI platform leveraging confidential computing to enable privacy-preserving model training and inference on sensitive data, allowing organizations to securely run and share AI workloads without exposing underlying data.

Industry: AI & Machine Learning

Website

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Opaque - Confidential AI Platform

2 months ago

Staff Engineer (CC)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead the design, architecture, and implementation of core software components for the confidential computing platform.
•Design, implement, and maintain end-to-end attestation services and infrastructure.
•Lead integration of TEE technologies (CNCF CoCo and hyperscaler confidential computing offerings) with the OPAQUE platform.
•Design and operate multi-cloud confidential computing deployments at the Kubernetes platform layer, including runtime classes, TEE node pools, custom admission controllers, and service mesh security.
•Define and enforce cryptographic standards within TEE boundaries, drive security/correctness and side-channel level review standards, and mentor engineers.

Key Requirements

•10+ years of software engineering experience focused on distributed systems, cloud computing, or security.
•Deep hands-on experience with confidential computing/TEE technologies (e.g., CNCF CoCo).
•Fluency in attestation protocols, including quote generation/verification and standards such as RATS (RFC 9334) and EAT/EAR.
•Production-scale systems programming experience in Go and/or Rust; kernel modules, ioctl interfaces, or TEE SDK integration is a plus.
•Cloud-native platform depth with Kubernetes operators, custom admission controllers, runtime classes, and TEE workload orchestration across multiple clouds.

Experience:10+ yearsDistributed systemsCloud computingConfidential computingSecurity

Skills:ArchitectureDesignCommunicationMentorshipSecurity review

Languages:English

Company Brief

Opaque - Confidential AI Platform

Industry: AI & Machine Learning

Website