Senior Cloud Networking Engineer — Distributed Systems

IBM; Tucson (AZ); On-site; USD 130,000 - 170,000; Full time

Job summary

IBM Software is seeking software engineers at multiple levels to grow the Traffic team, building and managing the networking fabric of Confluent Cloud. You will work on a data plane that ensures high performance, security, reliability, and cost optimization for Kafka traffic in the cloud.

The role focuses on large-scale distributed systems, containerized workloads in the cloud, and open source software integration.

Qualifications

• 2+ years of relevant cloud infrastructure/cloud networking experience.
• Experience/knowledge with public clouds (AWS, Azure or GCP)
• Practical experience with Kubernetes and containerization technologies
• Strong fundamentals in distributed systems design and development
• Experience building and operating large-scale systems
• Solid understanding at a systems level (disk, network, operating systems, etc)
• Proficiency in C++, Go, Python, or other statically typed languages
• A self-starter with the ability to work effectively in teams
• BS, MS in computer science or a related field, or equivalent work experience

Responsibilities

• Build the software underpinning the mission-critical Confluent Cloud network data plane platform.
• Independently drive execution of software projects to deliver complex production systems with a focus on quality.
• Build upon open source software to deliver business impact.
• Troubleshoot issues and improve ops for complex technical stack spanning three clouds, containers, and virtualization.

Skills

Cloud networking

Distributed systems

Kubernetes

Containerization

C++/Go/Python

Self-starter

Team collaboration

Public clouds

Education

Master's Degree

BS/MS in Computer Science or related field

Job description

IBM Software is seeking software engineers at multiple levels to grow the Traffic team, building and managing the networking fabric of Confluent Cloud. You will work on a data plane that ensures high performance, security, reliability, and cost optimization for Kafka traffic in the cloud.

The role focuses on large-scale distributed systems, containerized workloads in the cloud, and open source software integration.