Senior Solutions Engineer, Confluent
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- 7+ years of Solutions Engineering or similar work experience
- Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies
- First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development
- Experience with Automation, GitOps and Kubernetes
- Proficiency in Java, Python or SQL
- Technical certifications - Cloud Developer/Architect, Data Engineering & Integration
- Clear, consistent demonstration of self-starter behavior, a desire to learn new things and tackle hard technical problems
- Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, ranging from developers to enterprise architects and up to C-level executives
What the job involves
- Solutions Engineers at Confluent drive not only the early-stage evaluation within the sales process, but also play a crucial role in enabling ongoing value-realization for customers, all while helping them move up the adoption maturity curve
- In this role you’ll partner with Account Executives to be the key technical advisor in service of the customer
- You’ll be instrumental in surfacing the customers’ stated or implicit Business Needs, and coming up with Technical Designs to best meet these needs
- You may find yourself at times facilitating art of the possible discussions and storytelling to inspire customers in adopting new patterns with confidence, and at other times driving creative solutioning to help get past difficult technical roadblocks
- Overall, we look upon Solutions Engineers to be a key cog within the Customer Success Team that help foster an environment of sustained success for the customer and incremental adoption of Confluent’s Technology
- Help advance new & innovative Data Streaming use-cases from conception to Go-Live
- Execute on and lead Technical Proofs of Concept
- Conduct Discovery & Whiteboard Sessions to develop new use-cases
- Provide Thought Leadership by delivering Technical Talks and Workshops
- Guide customers with hands-on help and best practice to drive operational maturity of their Confluent Deployment
- Analyze Customer Consumption trends and identify Optimization opportunities
- Work closely with Product and Engineering teams, and serve as a key Product advocate across the Customer, Partner and Industry ecosystem
- Forge strong relationships with key customer stakeholders and serve as a dependable partner for them
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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