Introduction
At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.
Your Role and Responsibilities
As an Engineer / Senior Engineer in the Partner Applied Solutions team, you’ll design and build internal tools, automation frameworks, and partner-facing assets that improve how partners and Confluent teams integrate, test, and operate event streaming solutions. You’ll work across the Confluent stack — from Kafka and connectors to Confluent Cloud APIs, infrastructure automation, and validation tooling — to create durable, reusable components that streamline partner development and ensure reliability at scale. This role sits at the intersection of engineering excellence, partner enablement, and platform maturity — ideal for an engineer who wants to build systems that multiply the impact of others.
What You’ll Do
- Design and develop robust tools and frameworks that improve how Confluent and its partners build, test, and verify integrations and solutions.
- Build automation and validation systems to ensure Kafka connectors, APIs, and partner integrations are reliable, compliant, and production‑ready.
- Develop shared libraries, SDKs, or internal services that simplify repetitive engineering and testing tasks across teams.
- Collaborate with Product, Engineering, and Partner Engineering to identify gaps, automate pain points, and deliver solutions that stick.
- Drive the end‑to‑end lifecycle of your projects — from ideation and prototyping through to production readiness and adoption.
- Contribute to engineering standards, processes, and governance, ensuring PAS‑built assets are maintainable and well‑integrated.
- Participate in design reviews, contribute to architectural decisions, and mentor peers where appropriate.
Required Education
Bachelor’s Degree
Required Technical and Professional Expertise
- Proven experience developing in Java (experience in Go, Python, or similar is a plus).
- Deep understanding of Apache Kafka, event‑driven architecture, and streaming systems.
- Strong engineering fundamentals — distributed systems, API design, automation, and CI/CD practices.
- Comfortable building internal products or frameworks that balance speed, reliability, and maintainability.
- Solid experience with cloud infrastructure (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes).
- Strong collaboration and communication skills, with the ability to influence and deliver across cross‑functional teams.
Preferred Technical and Professional Experience
- Experience building or testing Kafka connectors or similar data integration systems.
- Familiarity with infrastructure‑as‑code tools (Terraform, Pulumi, etc.) and automation pipelines.
- Experience contributing to open source or building tooling that supports developer communities.
- Experience with partner or ecosystem engineering, particularly where internal tooling intersects with external users.
IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Other Relevant Job Details
For additional information about location requirements, please discuss with recruiter following submission of your application.
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