Technical Support Engineer, Confluent
Infrastructure & Cloud
$106.2-124.7k
Plus equity
More information about location
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$106.2-124.7k
Plus equity
More information about location
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
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
- Prior experience as a Technical Support Engineer, Site Reliability Engineer (SRE), or DevOps specialist, with a focus on platform and cloud infrastructure
- Knowledge of and troubleshooting experience with cloud networking on at least one cloud provider. For example, with AWS: you should be familiar with VPC, PrivateLink, Security Groups, NACLs, and Route 53
- Hands-on experience with Ansible, Terraform or any other Infrastructure as Code(IaC) tools
- Or you have experience with Kubernetes management or application deployment on K8s
- Knowledge of SSL/TLS and hands on troubleshooting experience
- Knowledge of various authentication techniques (basic, token, OAuth, SSO)
- Knowledge of Authorization concepts (ACLs and RBAC)
- Proven experience troubleshooting applications in Linux/Unix environments and familiarity with command-line tools
- A strong understanding of the Kafka protocol or a willingness to become an expert in Apache Kafka
- Experience diagnosing, reproducing, and resolving customer issues
- Desire to make customers successful through direct interaction
- Looking for candidates sitting in EST or CST time zones to support clients
What the job involves
- As a Technical Support Engineer, you'll be the crucial link between our client services and engineering teams, driving customer success by helping to identify and resolve critical business issues
- You'll work directly with customers, providing expertise in software development and operations, and leveraging deep knowledge of best practices for using Apache Kafka and complementary services in both Confluent Platform and Confluent Cloud
- 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 and runbooks
- Continuously enhance personal and team knowledge of Apache Kafka and associated products
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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