Senior Service Mesh & Networking Engineer

Uber Technologies Inc.; Sunnyvale (CA); On-site; USD 232,000 - 258,000; Full time

Benefits offered by this job

Bonus program

Equity

401(k) plan

Benefits

Job summary

Uber Technologies Inc. is seeking a Staff Software Engineer for the Service Mesh team.

You will define the technical direction for the proxy and networking infrastructure that carries Uber's service-to-service traffic, owning problems end-to-end from design through production rollout and long-term operation across security, network, compute, and storage stacks. You will lead multi-team projects, push for lower latency, smarter load balancing, scalable architecture, and stronger service identity,

Qualifications

• Bachelor's degree in CS or related field or equivalent practical experience.
• 8+ years of software engineering experience.
• Proficiency in Go, C++, or Java.
• Experience leading multi-team engineering projects through full lifecycle across infrastructure and product teams.

Responsibilities

• Define the multi-quarter technical roadmap for the service mesh forwarding layer while traffic continues to flow.
• Drive down latency and compute cost of the forwarding path and roll out improvements safely.
• Evolve the forwarding layer toward horizontally scalable, compartmentalized architecture.
• Strengthen service identity and authorization in the mesh without regressing tail latency.
• Build observability that makes the mesh explainable and signals clear for owners and on-call engineers.
• Partner with product engineering and security, network, compute, and storage teams to turn needs into platform capabilities.
• Lead through design docs, standards, incident response and postmortems, mentoring, and automation including AI-based workflows.

Skills

Go

C++

Java

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Envoy

gRPC

Kubernetes networking

Job description

Uber Technologies Inc. is seeking a Staff Software Engineer for the Service Mesh team.

You will define the technical direction for the proxy and networking infrastructure that carries Uber's service-to-service traffic, owning problems end-to-end from design through production rollout and long-term operation across security, network, compute, and storage stacks. You will lead multi-team projects, push for lower latency, smarter load balancing, scalable architecture, and stronger service identity,