Staff Software Engineer I - Confluent

IBM
Hursley, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Hursley, United Kingdom

Tech stack

Amazon Web Services (AWS)
Azure
C++
Cloud Computing
Computer Networks
Distributed Systems
Python
Software Engineering
Google Cloud Platform
Load Balancing
Kubernetes
Information Technology
Kafka
Confluent
Go
Programming Languages
Microservices

Job description

We are looking for a staff level technical leader to help us build the next-generation network data plane to enable our Confluent Cloud platform to achieve 10x the current scale. This is a hybrid engineering role, blending deep software development expertise with hands-on operational excellence.

Cloud networking is a strategic investment area with significant potential to impact the company's growth. The Traffic team is responsible for the network platform of Confluent Cloud with a focus on performance, security, reliability, and cost optimizations for all network traffic that ingresses and egresses a customer's Kafka and DSP deployments as well as all internal service to service traffic on Confluent Cloud.

You will architect, design and lead cross-team initiatives to deliver highly scalable, cost efficient, networking data plane solutions, while also ensuring these systems are reliable, observable, and resilient in production. You'll work across engineering, security, product, and platform orgs to deliver building blocks that empower product teams to integrate networking seamlessly.

What You Will Do:

  • Design, develop, and operationalize high-performance, scalable, reliable, and resilient systems for the Confluent Cloud network data plane platform.
  • Independently drive the execution of ambiguously scoped cross-team software projects, ensuring the delivery of complex projects in production with a focus on quality.
  • Leverage cloud providers to deliver impactful business solutions.
  • Troubleshoot and improve operations for a complex technical stack that spans across AWS, Azure, and GCP, including microservices, containers, and virtualization.

Requirements

  • BS, MS, or PhD in Computer Science or a related field, or equivalent work experience.
  • Extensive experience of the software engineering industry experience.
  • Strong fundamentals in distributed systems design and development.
  • Experience in building and operating large-scale systems.
  • Solid understanding of networking primitives and protocols.
  • Self-starter with the ability to work effectively in teams.
  • Proficiency in C++, Go, Python, or other programming languages

Preferred technical and professional experience

  • Experience with Kubernetes.
  • Experience with network proxies and/or load balancers.
  • Experience with public clouds (AWS, Azure, or GCP).

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