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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.
Job Responsibility:
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
Requirements:
Proven experience developing in Java
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
Nice to have:
Experience in Go, Python, or similar
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
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