Staff Software Engineer- Flink SQL

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Work on the next iterations of Flink SQL components such as logical query planner, parser, optimizer and SQL runtime on Confluent Cloud to deliver an efficient and unified experience for batch and streaming workloads.
Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on.
Designing Components: You will not only implement aspects of Flink SQL but also draft designs, discuss them and curate and moderate a decision with involved stakeholders.
Open Source contribution: As part of the Flink SQL team you will contribute to relevant changes and features to Open Source Apache Flink and help the community to maintain a high quality project by participating in relevant mailing list discussions, reviewing PRs affecting deployment and coordination components.
Open Source visibility: You will also write blog posts and give talks at meetups and conferences to strengthen the position of Confluent Cloud as industry experts for stream processing and Apache Flink in particular.
Team: As part of the team you will help to follow and maintain processes, by being an active part of the team, leading meetings and taking initiatives where feasible and participating in on-call rotations.
Mentoring: You will mentor other engineers with less experience in Apache Flink to get started in the community and more junior developers to get into the area of serverless Apache Flink.

10+ years of relevant software development experience.
Technical Expertise: Deep knowledge of database internals, especially around query planning and optimization. Extensive experience in software development, including hands-on experience in designing and development of complex distributed systems.
Problem Solving: Strong problem-solving skills, capable of translating complex requirements into effective solutions.
Communication: Excellent communication skills, both written and verbal, with the ability to collaborate across teams.
Industry Engagement: Active involvement in stream processing communities, conferences, and a strong network within the industry.

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