Technical Support Engineer, Confluent

Kafka, Sunday - Thursday Schedule

$106.2-124.7k

Offers Equity

Java

Kafka

Linux

Cassandra

Hadoop

Junior, Mid and Senior level

Remote from US

More information about location

Data streaming platform

Open for applications

Data streaming platform

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Open for applications

$106.2-124.7k

Offers Equity

Java

Kafka

Linux

Cassandra

Hadoop

Junior, Mid and Senior level

Remote from US

More information about location

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Company mission

Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.

Job

Company

Role

Who you are

We’re looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent’s enormous potential
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
Excitement in learning about streaming data and becoming a domain expert in Apache Kafka
Experience in diagnosing, reproducing, and resolving customer issues
Desire to make customers successful through direct interaction
Willingness to work Sunday to Thursday work schedule
Two out of these three:
Experience troubleshooting applications running on Linux (resource contention, network bottlenecks, etc.)
Operational knowledge of Java applications (stack, jmap, etc.)
Experience with at least one mainstream distributed system (e.g. Kafka, Hadoop, Cassandra, etc.)

What the job involves

Chart your own path and take healthy risks as we solve big problems together
Working with customers to resolve a wide range of issues with their Confluent deployments
Contributing to process development - we’re a small team, so we’re looking for people who want to help us lay the foundation for growing efficiently and with a best-in-class culture
Communicating with our core engineering team to provide real-time product feedback from the field
Improving product documentation and authoring knowledge base articles
Creating and reviewing product demos and internal tooling
Working closely with the team behind Apache Kafka!

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

Led by a woman

Top investors

27% female employees

14% employee growth in 12 months

Glassdoor (3.6)

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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