Staff Software Engineer - Flink Sql

Confluent Confluent · Data AI · United States · Remote · Engineering

Staff Software Engineer role focused on developing core components of Apache Flink SQL for Confluent Cloud, emphasizing stream processing, query planning, optimization, and open-source contributions.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 10+ years of software development experience
  • Deep knowledge of database internals (query planning, optimization)
  • Experience designing and developing complex distributed systems
  • Strong problem-solving skills
  • Excellent communication skills

Nice to have

  • Active involvement in stream processing communities, conferences, and a strong network within the industry

What the JD emphasized

  • 10+ years of relevant software development experience
  • Deep knowledge of database internals, especially around query planning and optimization
  • Extensive experience in designing and development of complex distributed systems