Software Engineer, Confluent
Data streaming platform
Job no longer available
Data streaming platform
1001+ employees
Job no longer available
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- Pursuing a Bachelor’s or Master’s in Computer Science, Math, or a related technical field with a graduation date between August 2024- December 2024
- Self-motivated and able to drive projects with mentorship and project requirements
- Ability to work effectively in teams and strong verbal and written communication skills
- Good knowledge of data structures and algorithms and are proficient in at least one of these languages: Java/Scala, C, C++, GoSmart, humble, and empathetic
- Driven and excited about the challenges of a fast-paced, innovative, and quickly growing software development environment
- Interested in building large-scale distributed systems in the cloud and are excited to make an impact
What the job involves
- We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. Real-time infrastructure is the future, and we are creating a new category for it - ‘Data in Motion’
- Tech in Toronto! Toronto is an early career engineer hub for Confluent. Your role will be a hybrid working model that introduces you to Confluent's culture and enables faster learning, onboarding, and coaching
- To design, develop, test, deploy, maintain, and improve software that will touch production and have a customer-facing impact
- Follow best practices for software development and participate in code reviews
- Manage project priorities, deadlines, and deliverables
- Help build the next generation Kafka by continuing to push the boundaries of distributed system design
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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