What are the responsibilities and job description for the Staff Software Engineer position at Harrison Clarke?
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