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As a Senior Software Engineer on the Developer Productivity team at Fivetran, you'll automate manual processes and develop internal tools for the engineering department. This role involves creating automation solutions, enhancing productivity, providing technical support, and collaborating with various teams to improve operations.

As a Senior Site Reliability Engineer at Fivetran, you will ensure the reliability and performance of the production infrastructure, handle incident responses, and improve the robustness of systems in collaboration with engineering teams. Your role will involve monitoring, automation, and working with various cloud platforms and scripting.

As a Principal Software Engineer at Fivetran, you will lead the architecture, design, and development of the Data Lake product. Responsibilities include collaborating with product teams, ensuring high reliability for data lake systems, contributing to open-source, and addressing performance challenges.

The Principal Software Engineer will lead the design and development of Fivetran’s Data Lake product, focusing on creating scalable data lake systems, enhancing performance, and ensuring reliability. Responsibilities include collaborating with product teams, addressing high-performance data management challenges, and contributing to open-source projects.

As a Staff Program Manager at Fivetran, you will oversee engineering programs and initiatives, ensuring timely execution and alignment with business goals. You will manage program processes, facilitate communication across teams, mitigate risks, and enhance methodologies to improve outcomes.

Lead the development and architecture of Fivetran’s Data Lake product, ensuring customers have scalable, queryable data. Collaborate with product teams, implement large-scale systems, focus on performance improvements, and drive innovations with open-source tools.

The Principal Software Engineer will lead the design and development of Fivetran’s Data Lake product, ensuring reliability and performance while collaborating with product teams. Responsibilities include managing large-scale data lake systems, contributing to open-source, and optimizing infrastructure. A focus on high-performance data management systems and excellent teamwork is essential.