Staff Software Engineer, Confluent Cloud Traffic Engineering

IBM

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Posted
17 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $208k
$155k most similar roles pay here $267k

This listing doesn't post a salary. Most similar roles pay $177,406–$238,537.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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TL;DR · Staff Software Engineer, Confluent Cloud Traffic Engineering

Staff Software Engineer - Confluent Cloud Traffic Engineering joins the Traffic team to build and manage the networking fabric of Confluent Cloud. This role focuses on the data plane, where you will architect, design, develop, and operationalize high-performance, scalable, and resilient systems for all traffic ingressing and egressing customer Kafka clusters. You will drive technical initiatives involving cloud infrastructure, multi-tenancy, and open source software while troubleshooting a complex stack of microservices, containers, and virtualization across three major clouds. The ideal candidate possesses expertise in distributed systems, large-scale system operations, and network data planes for containerized workloads. Required skills include proficiency in C++, Go, or Python, experience with public clouds like AWS, Azure, or GCP, and knowledge of Layer 7 proxies such as Envoy. You will solve critical problems regarding performance, security, reliability, and cost optimizations for real-time data infrastructure.

What does a Software Engineer earn in Remote?

Median $204500 from 415 postings across 57 companies.

See salary data

What you'll do

  • Architect, design, and develop high-performance software for the Confluent Cloud network data plane.
  • Optimize performance, security, reliability, and cost for traffic ingressing and egressing customer Kafka clusters.
  • Drive technical initiatives involving networking, cloud infrastructure, and multi-tenancy systems.
  • Lead a team of engineers to execute software projects and deliver high-quality results in production.
  • Build upon open source software and engage with the upstream community to achieve business goals.
  • Troubleshoot complex issues across microservices, containers, and virtualization across multiple public clouds.

What we're looking for

  • Master's Degree (preferred).
  • 8+ years of relevant cloud infrastructure or cloud networking experience.
  • Strong fundamentals in distributed systems design and development.
  • Solid understanding of basic systems operations including storage, network, and operating systems.
  • Proficiency in C++, Go, Python, or other statically typed languages.
  • Experience with public clouds (AWS, Azure, or GCP) and building/managing Layer 7 proxies like Envoy.
  • Open source contributions to CNCF projects, Kubernetes Networking experience, and a strong networking background (preferred).

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