Software Engineer II - Confluent Secure Compute

Position: Staff Software Engineer II - Confluent Secure Compute
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. With Confluent, data doesn't sit still.

We put information in motion, streaming in near real time so organizations can react faster, build smarter, and deliver experiences as dynamic as the world around them.

Your role and responsibilities

About the Team

The Secure Compute team builds and operates the foundational infrastructure layer that powers Confluent Cloud. Our mission is to enable the safe execution of code and data processing in multi-tenant environments across AWS, Azure, and GCP  provide the essential building blocks-including isolation, identity, and networking-that empower both our customers and internal product teams to innovate without compromising security.

As Confluent's product portfolio expands, our team sits at the center of the company's growth. We own a polyglot, container-based runtime that operates across thousands of clusters globally, solving some of the most complex challenges in distributed systems and cloud-native architecture. By balancing world-class security with operational cost-efficiency, we ensure that Confluent Cloud remains the trusted platform for mission-critical workloads in even the most highly regulated industries.

About the Role:

As a Staff Software Engineer on the Secure Compute Platform team, you will be a key technical leader in building and evolving a next‑generation, multi‑tenant, cloud‑native compute platform that safely runs both trusted and untrusted workloads  platform is built on Kubernetes and runs across a large fleet of clusters in multiple public clouds, providing a unified abstraction layer for workload execution, lifecycle management, security, and operational excellence.

You'll work on critical systems including:

* Secure Compute Infrastructure - Build and evolve the secure, multi-tenant compute substrate and isolation primitives that safely execute customer and internal workloads in a shared environment.

* Platform APIs & Abstractions - Design and evolve APIs that provide clear, safe abstractions for polyglot workloads (containers, functions, and services) with diverse performance and isolation needs.

* Core Platform Integration - Integrate the Secure Compute platform with core data and application services so that teams can onboard new workloads with minimal friction.

* Multi-Tenancy & Security - Implement and harden workload isolation, network policies, identity and access, and secure execution environments required to safely run customer-supplied code.

* Observability & Operations - Drive operational excellence through rich observability, automated health checks, self-healing workflows, and robust rollout and rollback practices.

As a senior technical leader, you think strategically and help drive end-to-end technical delivery-from platform APIs and developer experience down to runtime, capacity, and security. You leverage your expertise in cloud-native distributed systems to take the Secure Compute platform to the next level while ensuring high availability, reliability, security, and cost efficiency for mission-critical customer workloads.

What You Will Do

* Define and drive the technical direction for Secure Compute, including platform architecture, runtime, and security for running trusted and untrusted workloads at scale.

* Design and implement platform APIs and Kubernetes controllers/operators (primarily in Go) that power workload lifecycle, autoscaling,…