Senior Software Engineer, Confluent
Kora Compute
$218.7-257k
+ Equity
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$218.7-257k
+ Equity
1001+ employees
Company mission
To help every organization harness data in motion so they can compete and thrive in the modern world.
Role
Who you are
- BS, MS, or PhD in computer science or a related field, or equivalent work experience
- 4+ years of relevant cloud infrastructure/cloud networking experience
- Strong fundamentals in distributed systems design and development
- Experience building and operating large-scale systems in the Cloud
- Solid understanding of basic systems operations (disk, network, operating systems, etc)
- A self starter with the ability to work effectively in teams
- Proficiency in Java, Scala, C/C++, Go or other statically typed languages
Desirable
- In-depth familiarity with the JVM
- A strong background in distributed storage systems or databases
- Experience in the areas of resource management and QoS
- Experience/knowledge with public clouds (AWS, Azure or GCP)
- Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)
- Experience working on databases or data storage
What the job involves
- In this role, you will be working on building highly available, reliable, secure, scalable, and multi-tenant Kora's compute layer
- You will be instrumental in driving the technical solutions end-to-end, working closely with the team and key stakeholders to design, architect, and develop top-notch solutions
- Driven and excited about challenges of delivering complex projects in production with a focus on quality
- Customer focused - making customers more successful by taking on their most challenging problems motivates you
- Have a strong sense of teamwork and able to make decisions which benefit the team and company
- Identify root causes, and get beyond treating symptoms - motivated to dig deep and solve hard problems
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.
Now, it looks like IBM is eyeing the company for acquisition and Confluent looks to be a natural fit. Long positioned as the real-time backbone behind modern application, Confluent would gain global scale and an even deeper enterprise reach under iBM, while cementing its role at the center of AI-driven architectures. For COnfluent, the deal would marka shift from fast-growing independent disruptor to foundational infrastructure player powering the next wave of enterprise AI.
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
Old Mountain View, Mountain View, CA
Leadership
Jay Kreps
(Co-Founder & CEO)Prior to co-founding Confluent in 2014, Jay spent 7 years at LinkedIn, holding various roles including Principal Engineer and Principal Staff Engineer.
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