Phylo
Member of Technical Staff - System Engineering
South San Francisco · Staff+
Sponsorship not specifiedDetected 108 days ago
PythonGoRustDistributed SystemsAWSGCPAzureTerraformMachine LearningAgentic AIResearch
About the role
- We are an AI-native engineering team: we use coding agents heavily, move fast, and hold a very high bar for engineering excellence.
Responsibilities
- Design and build production systems that orchestrate agent execution and power AI-driven scientific workloads.
- 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.
Requirements
- 3+ years of industry experience in backend, infrastructure, or distributed systems engineering.
- Strong proficiency in at least one programming language (e.g., 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 (e.g., 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.
- Experience with job orchestration, task scheduling, or workflow engines.
- Experience with sandboxed or isolated execution frameworks (e.g., gVisor, Kata Containers, Firecracker).
- Familiarity with distributed storage, observability systems, or high-performance compute environments.
Compensation
- Competitive salary and equity share in building the future of biomedical discovery
Company info
- We're looking for an engineer to build and operate the core systems that power Phylo's agentic AI platform in production.
This listing is sourced directly from Phylo's careers page and normalized into a canonical job model.