Member of Technical Staff - System Engineering

Responsibilities

• Design and build production systems that orchestrate agent execution and power AI-driven scientific workloads.
• Build and operate scalable, reliable infrastructure across cloud, hybrid, and on-prem enterprise environments.
• Develop systems for sandboxed execution, secure task isolation, and controlled compute environments.
• Design and implement security, access control, and compliance foundations suitable for enterprise deployments.
• Partner closely with ML and science teams to translate computational workflows into robust, production-grade distributed systems.

Requirements

• 3+ years of industry experience in backend, infrastructure, or distributed systems engineering.
• Strong proficiency in at least one programming language (Python, Go, Rust, or similar).
• Experience designing and operating distributed systems in production.
• Deep hands-on experience with containerization and Kubernetes.
• Experience with infrastructure-as-code tooling (Terraform, Pulumi, or equivalent).
• Experience operating systems on at least one major cloud provider (AWS, GCP, or Azure).
• Comfort owning systems end-to-end in fast-moving, high-autonomy environments.

Nice to Haves

• Experience building enterprise SaaS platform that supports single-tenant, customer hosted deployment patterns.
• Experience in building R&D infrastructure at Pharma/Biotech.
• Experience with job orchestration, task scheduling, or workflow engines.
• Experience with sandboxed or isolated execution frameworks (gVisor, Kata Containers, Firecracker).
• Familiarity with distributed storage, observability systems, or high-performance compute environments.

Compensation & Benefits

• Competitive salary and equity share.
• Full medical, dental, and vision coverage, including free therapy sessions and eyewear stipend.
• 401(k).
• Unlimited PTO (US only).
• Lunch and snacks when in office.
• Regular team offsites and company events.