Site Reliability Engineer, Confluent
FedRAMP
$160.1-188.1k
+ Equity
More information about location
Data streaming platform
Be an early applicant
Data streaming platform
1001+ employees
Be an early applicant
$160.1-188.1k
+ Equity
More information about location
1001+ employees
Company mission
Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.
Role
Who you are
- To comply with U.S. federal government regulations, U.S. Citizenship is required for this position
- 3-5 years of relevant experience
- Expertise in Cloud Native technologies with experience operating production services in the cloud
- Strong fundamentals of Distributed Systems and their design
- Deep knowledge of Kubernetes and containerization
- Experience with telemetry tooling to monitor production systems
- Confidence with problem-solving and troubleshooting critical services
- Proficiency with scripting and automation (e.g Go, Java, Python, Bash)
- Working knowledge of infrastructure as code (e.g Terraform, Cloudformation, AWS CDK, Pulumi)
- Exceptional teamwork, collaboration skills, and the ability to act critically with minimal supervision at times in a remote first environment
- Experience with a rotating on-call schedule to provide 24/7 support
- BS Degree in Computer Science, Engineering, or equivalent experience
What the job involves
- Do you have a passion for data that can turn events into outcomes, enabling intelligent, real-time apps, and empowering teams and systems to be able to act on data instantly
- Have you ever dreamt about the opportunity to work with key agencies of the public sector
- Confluent's team of Federal Site Reliability Engineers, will allow you to do just that by putting you in the driver seat to deliver highly performant, reliable systems that enable prominent public sector agencies to make real time decisions with their data to solve real time problems through Confluent Cloud
- Confluent Cloud delivers a complete end-to-end streaming experience as a Software as a Service (SaaS) model
- Partner with our Cloud Architecture and Engineering teams to build upon the operational resiliency of the Confluent Cloud systems leveraged by federal agencies
- Collaborate broadly across teams to verify and deploy production changes to Confluent Cloud systems and infrastructure
- Be an active partner with peer engineering teams, engaging during incidents using an “escort model” to ensure compliance with FedRAMP data handling requirements
- Maintain critical monitoring used for triage and escalations in the federal space and improve upon automated recovery
- Adhere to established incident and changement processes and help drive continuous improvements
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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