IBM
Software Engineer - Confluent Secure Compute

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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 Role:
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 at scale. We provide the essential building blocks—including isolation, identity, and networking—that empower both our customers and internal product teams to innovate without compromising security.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
What You Will Do
- Build mission-critical backend services and features that deliver value to our customers.
- Play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services.
- Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization.
- Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers.
- Act as a strategic engineer who constantly thinks of process and operational improvements.


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Preferred Education
Master's Degree
Required Technical And Professional Expertise
- 1+ years industry experience designing, building, and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation.
- Direct experience building systems with online components that serve user requests.
- Proficiency in Python runtime environments (virtual environments, package management, and interpreter configurations).
- Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Rust, Python, etc.
- Experience with Kubernetes and cloud-native technologies.
- Experience in other Language Runtimes / VMs (JVM/WASM, etc.) a big plus.
- BS, MS, or PhD in computer science or a related field, or equivalent work experience.
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