Staff Software Engineer

Staff Engineer – Confidential Computing (Remote, North America Preferred)

Search supported by Harrison Clarke \| Confidential Client \| High-Impact IC Role

Harrison Clarke is partnering with a fast-scaling infrastructure company in the confidential computing space to identify a

Staff Engineer (IC)

who can take deep technical ownership of core secure systems. This is a critical hire for the business, building production-grade confidential computing infrastructure for secure AI and data workloads.

This is a hands-on engineering role for someone who has already built and shipped confidential computing systems in production and is looking to own and scale that capability inside a high-growth environment.

Role Overview

You will be the technical owner for a core part of the confidential computing platform, responsible for designing, building, and evolving secure infrastructure systems that operate across multi-cloud environments.

This is not a management role. It is a senior individual contributor position for a deep systems engineer who stays close to the code while driving architectural direction through execution.

You’ll work across systems, infrastructure, and security boundaries to build next-generation confidential computing capabilities that underpin secure AI workloads.

Key Responsibilities

• Take end-to-end technical ownership of confidential computing systems
• Write and ship production-level systems code (hands-on IC role)
• Build and scale secure, multi-tenant infrastructure in cloud-native environments
• Contribute directly to the core platform powering confidential AI workloads
• Help design and implement next-generation secure compute architecture (Alpha → GA roadmap)
• Collaborate closely with engineering peers to make practical decisions on security, performance, and scalability
• Drive real-world deployment readiness and operational robustness of confidential systems

Required Experience:

Must-Have

• Deep, non-negotiable expertise in

confidential computing

• Proven experience building and deploying

production systems

• Strong background in secure computing environments
• Systems-level engineering experience (infrastructure, OS, kernel, or low-level systems)

Core Technical Stack

• Primary:

Rust, Go

• Infrastructure:

Kubernetes, multi-cloud environments (AWS / Azure / GCP)

• Strong foundation in distributed systems and systems programming

Candidate Profile

• Target level:

Google L5–L6 equivalent

• Strong individual contributor mindset
• Builder-first, execution-focused engineer
• Not a research-heavy or purely architectural profile
• Not a people management role