Confluent - Staff Software Engineer

IBM

Boston (KY)

On-site

USD 140,000 - 175,000

Full time

34 hours ago
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Job summary

IBM Software is looking for a Senior Software Engineer to design, build, and operate distributed systems powering Kafka workloads at cloud scale. You will work across broker reliability, platform capabilities, networking, and coordination services, partnering with cross-functional teams.

You will own end-to-end delivery from design to production support, mentoring teammates and driving durable, scalable solutions while prioritizing reliability and security.

Qualifications

  • Strong software engineering experience building and operating distributed systems or large-scale backend services.
  • Proficiency in Java or another JVM language with experience in a large codebase.
  • Knowledge of distributed systems concepts: concurrency, replication, fault tolerance, performance Tradeoffs.
  • Experience designing reliable services and diagnosing production issues with logs, metrics, traces, and profiling tools.
  • Track record of taking ambiguous technical problems from design through delivery and ownership.
  • Strong written and verbal communication, collaboration across teams, and ability to explain technical decisions.
  • Customer-focused approach and a commitment to secure, resilient systems.

Responsibilities

  • Design and deliver distributed systems features for Kafka-based cloud services, focusing on correctness, availability, latency, throughput, and resource efficiency.
  • Build and evolve systems that support Confluent Cloud, including Kafka broker, compute, networking, and coordination capabilities.
  • Improve production reliability through failure handling, protections, observability, testing, and tooling.
  • Investigate complex performance and production issues, identify root causes, and implement durable fixes.
  • Lead technical design and implementation for cross-team projects, communicating tradeoffs and risks.
  • Collaborate with product, infrastructure, and engineering teams to translate customer needs into safe, scalable solutions.
  • Participate in code reviews, on-call, incident response, and continuous improvement of engineering practices.
  • Mentor teammates and foster a culture of thoughtful design, ownership, and customer focus.

Skills

Distributed systems
Java / JVM
Kafka
Performance optimization
Code reviews
Mentoring
Communication

Education

Master's Degree

Tools

Apache Kafka internals
Kubernetes
Cloud platforms

Job description

Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'l have the tools and opportunities to advance your career while creating software that changes the world.

Introduction

At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'l have the tools and opportunities to advance your career while creating software that changes the world.

Your Role And Responsibilities

Confluent builds the data streaming platform that helps organizations connect, process, and govern data in real time. Kora Compute builds the secure, reliable, highly available API and compute layers behind Confluent Cloud.

As a Senior Software Engineer on Kora Compute, you will design, build, and operate distributed systems that power Kafka workloads at cloud scale. You may work on broker reliability and performance, platform capabilities, networking, or Kafka coordination services. You will take problems from design through launch and production support, partnering across engineering, product, and cloud infrastructure teams.

What you will do
  • Design and deliver distributed systems features for Kafka based cloud services, with attention to correctness, availability, latency, throughput, and resource efficiency.
  • Build and evolve systems that support a Confluent Cloud, including kafka broker, compute, networking, and coordination capabilities.
  • Improve production reliability through sound failure handling, service protections, observability, testing, and operational tooling.
  • Investigate complex performance and production issues, identify root causes, and drive durable fixes.
  • Lead technical design and implementation for projects that cross service and team boundaries, clearly communicating tradeoffs and risks.
  • Collaborate with product, infrastructure, and engineering partners to turn customer and platform needs into safe, scalable solutions.
  • Participate in code reviews, on call, incident response, and continuous improvement of engineering practices.
  • Mentor teammates and contribute to a culture of thoughtful design, ownership, and customer focus.
Preferred Education

Master's Degree

Required Technical And Professional Expertise
  • Strong software engineering experience building and operating distributed systems or large scale backend services.
  • Proficiency in Java or another JVM language, and the ability to work effectively in a large codebase. Kafka or stream processing experience is a plus.
  • Knowledge of core distributed systems concepts, including concurrency, consistency, replication, fault tolerance, and performance tradeoffs.
  • Experience designing reliable services and diagnosing issues in production using logs, metrics, traces, and profiling tools.
  • A track record of taking ambiguous technical problems from design through delivery and operational ownership.
  • Strong written and verbal communication skills, with the ability to collaborate across teams and explain technical decisions.
  • A customer focused approach and a commitment to building secure, resilient, maintainable systems.
Preferred Technical And Professional Experience
  • Experience with Apache Kafka internals, brokers, networking, or consumer group coordination.
  • Experience with cloud platforms, multi tenant systems, Kubernetes, or cloud networking.
  • Experience with high throughput, low latency, or resource intensive services and performance benchmarking.
  • Experience with production operations, on call, incident management, and reliability engineering.
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