About the Role
This position is on Uber's Service Mesh(similar to Istio or AWS App Mesh) Forwarding/Data plane team. The team builds and operates distributed systems that handle 10s of millions of req/sec in real time traffic between Uber internal services. We solve problems like

• Enhanced Load balancing Framework across service containers for more even distribution of CPU distribution
• Scaling to large number of service instances using Dynamic subset sizing
• Leveraging eBPFs to improve observability
• Building interfaces that allow for uniform features between proxies and proxyless
• Implementation of security features such as authentication and encryption without requiring integration with services.

What the Candidate Will Need

• Build reliable, fault-tolerant distributed systems
• Debug hard-to-locate bugs or leaks starting from the platform layer going all the way to the wire
• Implement features based on the technical requirements
• Be on-call and assist with mitigating incidents

Basic Qualifications

• Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, etc.).
• Relevant engineering experience, preferably some in distributed systems.
• Experience with Java, Go, C, C++, Python or similar (bonus points for more than one).
• Proficiency in Linux, and practiced Python or Bash scripting skills.

Preferred Qualifications

• 2-4 years building scalable distributed systems
• Knowledge of core infrastructure foundations, including compute, networking, security, and storage. Depth of experience in one or more recommended.
• Experience working with internet-focused network concepts & technologies such as DNS, BGP, routing tables, reverse proxies, IPv4/IPv6, TCP/UDP, TLS/HTTP/QUIC.
• You have excellent interpersonal skills and a portfolio of successful execution.
• Excellent written and verbal communication skills.
• You can collaborate well with other engineering teams to articulate requirements and system design.
• Ability to assess new technologies and make pragmatic choices that help guide us towards a long-term vision.
• An open, curious, and bold approach to problem-solving while striving for the best solution.
• Passion for driving continual improvement initiatives on engineering best practices like coding, testing, or monitoring.