Staff Software Engineer

Ibm — United States · Posted ~3 hours ago

Full-time Visa History ✓

Skills

Cloud infrastructure Software engineering Distributed systems Platform development Cloud Distributed Systems Infrastructure

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Summary ✨ AI‑Generated

A staff-level engineering role focused on designing and operating large-scale cloud infrastructure and platform systems. The position requires deep technical expertise, problem solving, and collaboration on high-impact engineering initiatives.

Highlights

Senior technical leadership opportunity working on large-scale infrastructure and innovative cloud technologies with strong learning and collaboration culture.

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’ll have the tools and opportunities to advance your career while creating software that changes the world. Your Role And Responsibilities To realize Confluent’s enormous potential, we are looking for a Staff Software Engineer 2 to join 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 network platform powers both customer connectivity as well as internal connectivity spanning thousands of Kubernetes clusters across all regions in AWS, Azure, and GCP. 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. What You Will Do Build the software underpinning the mission-critical Confluent Cloud network data plane platform. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient systems.Deliver high impact to the business by driving important technical initiatives in areas comprising (but not limited to) networking, cloud infrastructure, and multi-tenancy.Independently drive execution of software projects as well as technically lead a team of engineers to deliver impact in production with a focus on quality.Build upon open source software and engage with the upstream community to deliver business impact.Troubleshoot issues and improve ops for complex technical stack that spans all the 3 clouds and includes microservices, containers, and virtualization. This job can be performed from anywhere in the US Preferred Education Master's Degree Required Technical And Professional Expertise 10+ years of relevant cloud infrastructure/cloud networking experienceStrong fundamentals in distributed systems design and developmentExperience building and operating large-scale systemsExperience leading a team of engineers and working cross-team to deliver complex infrastructure projectsSolid understanding of basic systems operations (storage, network, operating systems, etc.)Proficiency in C++, Go, Python, or other statically typed languagesExperience/knowledge with public clouds (AWS, Azure, or GCP)Experience building and managing Layer 7 proxies, especially cloud-native proxies such as Envoy Preferred Technical And Professional Experience Open source contributions to CNCF projectsExperience with Kubernetes NetworkingStrong networking background combined with your software engineering experienceEducation in computer science or a related field, or equivalent work experience