Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favourite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That’s the power of data in motion in action—giving organisations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we’re building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organisation. With Confluent, organisations can create a central nervous system to innovate and win in a digital-first world.

We’re looking for self-motivated team members who crave a challenge and feel energised to roll up their sleeves and help realise Confluent’s enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow—whether you’re just starting out in your career or managing a large team, you’ll be amazed at the magnitude of your impact.

About the Role:

KsqlDB is a stream-processing database capable of doing complex transformations of data in real time, while also providing materialized views and a familiar SQL syntax.Our vision is to turn the database inside out by enabling every organization to transform and query their real-time streams using SQL.

In this role as a Staff Software Engineer at Confluent you will drive our charter to build an elastic, scalable, efficient, SQL-based, stream processing technology that operates both on-prem and in the Cloud. We are looking for strong engineers to help us build out an elastic, scalable, efficient, SQL-based, stream processing technology that operates at scale. You can learn more about what we do by visiting ksqldb.io, or reading some of our posts on improving the availability guarantees of our distributed, stateful, systems.

What You Will Do:

• Designing and implementing new stream processing operators, including making extensions to the SQL language to incorporate streaming concepts.

• Improving the performance, scalability, and elasticity of core stream processing technology like Kafka Streams.

• Designing solutions to improve the efficiency, reliability, and operability of our distributed, stateful, data processing systems in public clouds.

• Building novel solutions to enable efficient and scalable querying of state materialized from real time event streams.

• Interacting with the Apache Kafka and the ksqlDB communities to provide technical guidance and thought leadership in the stream processing space.

• Mentor a team of high-performing engineers and leads, helping them to continue in growing their skill set through hands-on experience and mentorship.

• Provide timely and productive feedback, encourage a growth mindset, and advise team members in setting and working toward personal development goals.

• Nurture a culture of excellence on the team through a focus on hiring, communication, execution, and work quality.

• Collaborate with others in engineering and product leadership to create the long-term technical and product roadmap and quarterly deliverables for your team.

• Effectively communicate the roadmap and strategy within the team and across the organization.

• Create and manage processes that enable the team to do its best work.

What You Will Bring:

• Minimum of 12+ years of hands-on software development experience.

• Strong fundamentals in distributed systems design and development. Solid fundamentals in concurrent and multi-threading programming.

• Ability to anticipate future technical needs for the product and craft plans to realize them.

• Experience building and operating large-scale systems.

• Solid understanding of basic systems operations (disk, network, operating systems, etc).

• A self starter with the ability to work effectively in teams.

• Experience in enterprise-scale software development.

• Experience running production services in the cloud.

• Experience running large stateful data systems and production services in the cloud.

• A great track record of shipping features and hitting deadlines consistently.

• Ability to move fast, build in increments, and iterate. A sense of urgency, a mindset towards achieving results, and excellent prioritization skills.

• Ability to anticipate future technical needs for the product and craft plans to realize them.

• Ability to influence the team, peers and upper management using effective communication and collaborative techniques.

• Focus on building and maintaining a culture of collaboration within the team.

• Degree in Computer Science, Engineering or equivalent experience. An advanced degree in computer science is preferred.

What Gives You an Edge:

• Experience in open-source development

• Experience using Apache Kafka, Apache Flink, Apache Spark is a big plus

• Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)

• Experience working on stream processing technology or query processing systems

• Additional highly desirable experience

• Stream processing systems

• Structured query serving systems

• Data processing systems in general

• Storage experience

Come As You Are

At Confluent, equality is a core tenet of our culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. The more diverse we are, the richer our community and the broader our impact. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law.

Click HERE to review our Candidate Privacy Notice which describes how and when Confluent, Inc., and its group companies, collects, uses, and shares certain personal information of California job applicants and prospective employees.

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