Software 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
- A recent graduate who will be working remotely based in the UK with a UK address at the time of application
- Graduated from a Bachelor’s or Master's program in Computer Science, or a related technical field
- Good knowledge of data structures and algorithms and proficiency in at least one of these languages: Java, C, C++, Python, Go
- Self-motivated and able to drive projects with mentorship and project requirements
- Smart, humble, and empathetic and able to work effectively in teams and strong verbal and written communication skills
- Ready to make an IMPACT -- Driven and excited about the challenges of a fast-paced, innovative, and quickly growing software development environment
- Interested in building large-scale distributed systems
What the job involves
- Contribute to the design, development, and operation of scalable, resilient data infrastructure supporting observability, logging, alerting, and metrics for Confluent Cloud
- Collaborate with experienced engineers to build and maintain core components of the Cloud Manageability platform, such as Health+, Metrics API, and Alert Platforms
- Write clean, efficient, and well-tested code while gaining hands-on experience with large-scale distributed systems and cloud-native technologies
- Participate in code reviews, technical discussions, and sprint planning to continuously improve the quality and performance of our systems
- Take ownership of small projects and deliver features that directly impact the reliability and usability of Confluent Cloud for internal and external users
- This team’s charter includes building and scaling our cloud-scale, data infrastructure which powers customer-facing metrics and events, and evangelizing platform architecture best practices
- This infrastructure enables critical products like Health+, Metrics API, and use cases like billing, deep insights, and product visibility
- We are a team passionate about the observability space of any large-scale distributed infrastructures
- In Confluent, we build, operate, and improve systems for logging, notifications & alerts, events detection and routing, and metrics
- You could work on the following teams in Cloud Manageability:
- Health+
- Cloud Notifications
- Metrics API and Telemetry
- Fleet Management
- Capacity and Placement
- Events DevEx
- Control plane DevEx
- Alert Platform
- Notifications Platform
- Service Ops Intelligence
- Orchestrator - Cluster Lifecycle Mgmt
- Orchestrator - Core Infra
- Events Infrastructure
- Logging Platform
- Druid Data Platform
- Cloud Resiliency and Tooling
- FedRAMP
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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