Senior Software Engineer - Confluent Cloud Traffic

IBM
Rochester, MN, United States
14 days ago
Apply on www.juju.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Microsoft Azure C++ (Programming Language) Cloud Computing Distributed Systems Python (Programming Language) Software Engineering Computer Networking Systems Containerization Kubernetes Information Technology Apache Kafka
+2 more
Confluent Golang

Job description

To realize Confluent’s enormous potential, we are looking for software engineers, at various levels, to grow our Traffic team which is responsible for building and managing the networking fabric of Confluent Cloud. Cloud networking is a strategic investment area for Confluent with the potential to impact the company’s top and bottom line. The data plane area in the Traffic team focuses on the performance, security, reliability, and cost optimizations for all traffic that ingresses and egresses a customer’s Kafka cluster on Confluent Cloud.

Requirements

We are looking for someone with an interest in building large-scale distributed systems, with a focus on building and managing network data planes for containerized workloads in the cloud. The ideal candidate would be passionate about network data plane performance, scale, cost optimizations, and building robust software.

*

Build the software underpinning the mission-critical Confluent Cloud network data plane platform. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems.

*

Independently drive execution of software projects to deliver complex projects in production with a focus on quality., 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

Preferred technical and professional experience

*

5+ years of relevant cloud infrastructure/cloud networking experience

*

A Strong networking background combined with your software engineering experience

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

1:50 min

Building a data producer using the Confluent Python library

Lucia Cerchie · LIVE

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

2:14 min

Solving complex platform architecture challenges at an enterprise scale

Maria Apazoglou · Coffee With Developers

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

Videos

See all

Related articles

See all