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The Staff Software Engineer will enhance the Aiven cloud platform by improving its scalability and reliability, implementing new features, and extending the product portfolio. The role requires collaboration with engineers and stakeholders, focusing on customer needs and innovative technology solutions.

As a Senior Software Engineer, you will develop cloud services based on open-source technologies, focusing on the Apache Kafka service's scalability and reliability. Responsibilities include writing maintainable code, conducting peer reviews, participating in technical discussions, and mentoring other engineers.

As a Senior Software Engineer, you will develop and improve cloud services using open-source technologies, particularly focusing on Apache Kafka and its related services. You'll write maintainable code, perform peer reviews, assist in planning, resolve customer issues, and mentor junior engineers while collaborating with the team to drive innovative solutions.

The Senior Solutions Architect will collaborate with customers and partners, promoting Aiven's managed open-source services. The role requires excellent communication and negotiation skills, focusing on customer success from pre-sales through implementation. The ideal candidate should have substantial experience in various open-source technologies.

As a Senior Analytics Engineer, you will drive SQL knowledge, simplify data models, ensure adherence to data modeling standards, and work closely with stakeholders to build trust and maintain data quality. You will collaborate with analysts to define and adjust data models based on usage patterns, and contribute to the improvement of data products.

As a Technical Onboarding Specialist, you will lead new customers through the onboarding process, develop onboarding materials, conduct training workshops, provide support for technical configurations, and troubleshoot any issues that arise.

The Senior Analytics Engineer will collaborate with data engineers and analysts to optimize data models, drive SQL literacy, ensure data quality, and enhance data products. Responsibilities also include defining data models based on usage patterns and supporting organizational data literacy initiatives.