Frontend Engineer, Confluent
Data streaming platform
Open for applications
Data streaming platform
1001+ employees
Open for applications
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- At least 4+ years of professional experience
- Bachelor's degree or higher in Computer Science or similar field or equivalent
- Experience building performant, data-intensive client-side web applications with buttery and intuitive user experiences
- Deep experience and understanding of modern Typescript, JavaScript, HTML, and CSS and best practices
- Deep experience with complex SPA architecture using React and Redux including:
- Redux middleware patterns and usage
- Data fetching patterns
- Data grids and visualization libraries
- Form handling
- Experience with Typescript and JavaScript package management and tooling, e.g. NPM, Yarn, Vite, Webpack, Babel
- Experience using Playwright, Jest and React Testing Library for testing client-side applications
- Experience with REST-ful and GraphQL APIs and their best practices, design, implementation and integration with web clients
- Experience with Go
- Experience with greenfield development and maintaining legacy code
What the job involves
- We are looking for a Senior Full-Stack Software Engineer, with strong front-end experience, interested in building first class support tooling that will help enable our support and engineering teams
- The Admin Dashboard is just one of the critical pieces of internal support tooling at Confluent, used by dozens of technical support and engineering teams on a daily basis to help give our customers the extraordinary customer experience they deserve
- As we push to make the Admin Dashboard a best-in-class application with the potential to integrate with other internal products, we're looking for folks that can help us grow a small (but mighty) team to drive that mission forward. We operate a bit like a startup within a larger company: we move fast, have a high degree of autonomy and flexibility, and strive not to just get things done, but to get them done the "right" way and set a strong foundation for the future
- Together, you'll help us create new features across the UI and API layer in the Admin Dashboard from start to finish, as well as maintain our existing ones. In the process, you'll engage with folks across Confluent in support, engineering, and product. Your work will have immediate and tangible impact and visibility. So, if you're a full-stack engineer with strong front-end chops, we'd love to hear from you!
Our take
Confluent is a commercial company built on top of the open-source Apache Kafka project. Confluent and Kafka have developed a streaming data technology that processes massive amounts of information in real-time.
The streaming database technology was developed at LinkedIn as a way of moving massive amounts of messages. The company decided to open-source that tech in 2011, and Confluent launched as the commercial arm in 2014.
While the base open-source component remains available for free download, it doesn’t include the additional tooling the company has built to make it easier for enterprises to use Kafka. Confluent's value add is in those additional tools, including a cloud version of the product and a marketplace for sharing extensions to the platform.
Confluent expanded strategic partnerships with Microsoft and acquired Immerok, and in 2023 expanded its cloud platform. 2024 saw further product expansions with the launch of the Confluent Migration Accelerator, all exemplifying how the company is living up to its name by rocket-boosting the benefits of Apache Kafka integration for companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Apr 2020
$250m
SERIES E
Jan 2019
$125m
SERIES D
Total funding: $455.9m
Company HQ
Mountain View, California
Leadership
Jay Kreps
(Co-Founder & CEO)Previously a Principal Engineer at LinkedIn.
Neha Narkhede
(Co-Founder & Board Member)Previously a Lead Engineer at LinkedIn and Oracle. They are an Investor/advisor for Gem, Block Party, Material Security, Abacus AI, Cortex Data, Yugabyte, Metaphor Data, Natalist, Common Room, and more.
Jun Rao
(Co-Founder)Previously a Senior Engineer at LinkedIn. Has a PhD in Computer Science from Columbia University.
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