Senior Software Engineer, Confluent
Kora Global
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
- BS, MS, or PhD in computer science or a related field, or equivalent work experience
- 2-3 years plus of relevant cloud infrastructure and/or SaaS/PaaS services
- 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/knowledge with public clouds (AWS, Azure or GCP), Kubenetes and micro services
- Interest in evangelism (giving talks at tech conferences, writing blog posts evangelizing Kafka)
- Experience working on multi-region databases or data storage
What the job involves
- The Kora Global team is part of the broader Kora Orchestration organization working towards re-imagining Apache Kafka as a cloud native data serverless - fully serverless, multi-tenant, and at scale
- You will work on building the next generation Kafka by continuing to push the boundaries of distributed system design
- The Kora Global team focuses on crucial elements of Confluent's global replication infrastructure
- These include Cluster Linking, MultiRegion Cluster (MRC) and Confluent Replicator, as well as building out the next generation global replication technologies
- These technologies help customers deploy and manage Confluent clusters across multiple regions for high availability and disaster recovery
- As a Senior Software Engineer on the Kora Global team, you will be working on developing and improving Confluent's global replication offerings
- 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
- You'll collaborate with product managers, engineers, and other team members
- This role will involve working on highly available, reliable, secure, scalable, and multi-tenant aspects of Kora's orchestration layer
- 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.
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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