Senior Software Engineer, Confluent
CA$144.2-169.4k
Offers Equity
More information about location
Data streaming platform
Open for applications
Data streaming platform
1001+ employees
Open for applications
CA$144.2-169.4k
Offers Equity
More information about location
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
- 3+ years of industry experience designing, building, and supporting backend systems in production
- Strong programming and algorithmic skills in at least one major language (for example, Java, Go, C/C++, or Python), and the ability to learn new languages and frameworks as needed
- Experience with distributed systems or large-scale backend services, such as microservices, data pipelines, event-driven architectures, or high-throughput APIs
- Hands-on experience deploying and operating services on a public cloud (AWS, GCP, or Azure), including knowledge of containers and orchestration tools (for example, Docker and Kubernetes)
- Familiarity with databases and storage systems, such as relational databases, NoSQL stores, or distributed data systems, and an understanding of performance and scalability tradeoffs
- A focus on quality and reliability, including testing strategies, observability (metrics, logging, tracing), and incident response best practices
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional partners across time zones
- A growth mindset: you’re curious, open to feedback, and comfortable working in areas that may be new to you
- BS, MS, or PhD in computer science, engineering, or a related field, or equivalent practical experience
What the job involves
- Backend engineers at Confluent build the cloud services and systems that power our data streaming platform
- You’ll work on large-scale, distributed backend systems that need to be highly available, reliable, and easy to operate
- This is a general L3 backend role used across multiple product and platform teams
- Depending on your background and interests, you may work on areas such as core platform services, governance and metadata, observability and telemetry, security and access, or customer-facing application experiences
- We’ll align you to a team during the hiring process based on your skills and what excites you
- You’ll partner closely with other engineers, product managers, and designers to ship features end to end — from design and implementation to rollout and ongoing operation in production
- Design, build, and operate backend services that are secure, reliable, and scalable in a cloud-native environment
- Own features and projects end to end: requirements, design, implementation, testing, rollout, and ongoing improvements
- Work with distributed systems and microservices, with a focus on performance, resiliency, and clear API contracts
- Contribute to service reliability and operations, including monitoring, alerting, and on-call participation where applicable
- Collaborate with partner teams on architecture, data modeling, and integration points across Confluent’s platform
- Write clean, well-tested, and well-documented code, and participate in code reviews that raise the bar for the team
- Help improve engineering practices, tools, and automation to make it easier and safer to ship code
- Contribute to a healthy team culture through clear communication, inclusive collaboration, and a willingness to learn and teach
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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