Staff Service Mesh Engineer: High-Performance Networking

Uber; United States; Híbrido; USD 232 000 - 258 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Bonus program

Equity

401(k)

Resumo da oferta

Uber is seeking a Staff Software Engineer for the Service Mesh team to define direction for the proxy and networking stack that handles service-to-service traffic across Uber's global infrastructure.

You will own end-to-end design, production rollout, and long-term operation, partnering with security, network, compute, and storage teams, mentoring engineers and driving automation including AI-based workflows where it reduces toil.

Qualificações

• Bachelor's degree in Computer Science or related field or equivalent practical experience.
• 8+ years of software engineering experience.
• Proficiency in Go, C++, or Java.
• Experience building and operating large-scale, latency-sensitive distributed systems or infrastructure.

Responsabilidades

• Define the multi-quarter technical roadmap for the service mesh forwarding layer.
• Drive down latency and compute cost of the forwarding path; rolling out improvements safely.
• Evolve forwarding layer to a horizontally scalable, compartmentalized architecture.
• Strengthen service identity and authorization in the mesh without increasing tail latency.
• Build observability that makes the mesh explainable for service owners and on-call engineers.
• Lead through design docs, standards, incident response, mentoring, and automation including AI-based workflows.

Conhecimentos

Go

C++

Java

Distributed systems

Mentoring engineers

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Envoy

gRPC

Kubernetes networking

TLS / mTLS

Descrição da oferta de emprego

Uber is seeking a Staff Software Engineer for the Service Mesh team to define direction for the proxy and networking stack that handles service-to-service traffic across Uber's global infrastructure.

You will own end-to-end design, production rollout, and long-term operation, partnering with security, network, compute, and storage teams, mentoring engineers and driving automation including AI-based workflows where it reduces toil.