Technical Support Engineer, Confluent

Salary not provided

$43.00 – $49.00 per hour

Java

Kafka

Linux

Cassandra

Hadoop

Junior and Mid level

Remote from US

More information about location

Data streaming platform

Be an early applicant

Data streaming platform

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Be an early applicant

Salary not provided

$43.00 – $49.00 per hour

Java

Kafka

Linux

Cassandra

Hadoop

Junior and Mid 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

1+ years of related experience
Must be able to work PST timezone
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
Two out of these three:
Experience troubleshooting applications running on Linux (resource contention, network bottlenecks, etc.)
Operational knowledge of Java applications (jstack,jmap, etc.)
Experience with at least one mainstream distributed system (e.g. Kafka, Hadoop, Cassandra, etc.)

What the job involves

Technical Support Engineers work at the intersection of our client services and engineering teams and drive customer success by helping identify and resolve critical business issues
In this role you will interact directly with our customers to provide software development and operations expertise, leveraging deep knowledge of best practices in the use of Apache Kafka, the broader Confluent Platform, as well as complementary systems
You will be hands-on in fixing issues seen by Confluent customers and contributing fixes back to the open source community
Throughout all of these interactions, you will build strong relationships with customers, ensuring exemplary support and timely resolution to customer requests
Working with customers to resolve a wide range of issues with their Confluent deployments
Contributing to process development - we are a small team, so we are 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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