Member of Technical Staff
Build and operate distributed infrastructure across compute, storage, networking, data, deployment, and reliability domains. The role requires 4+ years of backend or platform engineering experience, strong systems-language skills, and the ability to own complex production systems and lead cross-team technical initiatives.
About the job
Responsibilities
- Own cross-cutting infrastructure problems spanning compute, storage, networking, data, deployment, and reliability.
- Eliminate bottlenecks across retrieval and serving paths, build shared abstractions across deployment environments, and resolve failures across platform boundaries.
- Design, build, and operate distributed infrastructure for consumer, AI, and enterprise workloads, from architecture through production operation.
- Build shared abstractions, automation, and tooling that make infrastructure easier and safer to use.
- Improve performance, availability, scalability, and cost-efficiency across online request traffic and background workloads.
- Debug complex production issues across service and infrastructure boundaries and implement durable architectural improvements.
- Set technical direction, lead high-impact cross-team programs, and establish technical standards.
Requirements
- 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
- Experience owning complex production systems end to end and delivering sustained technical impact across teams.
- Ability to set technical direction, lead through influence, and contribute through architecture, design reviews, and mentorship.
- Strong software engineering skills in Python or another systems/backend language such as Go, Rust, C++, or Java.
- Meaningful experience across at least two infrastructure domains, including cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability.
- Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution.
Skills
Python, Go, Rust, C++, Java, Cloud Platforms, Distributed Systems, Kubernetes, Storage, Databases, Networking, Data Systems, Developer Infrastructure, Production Reliability, Automation
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