FedRAMP Site reliability 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
- 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
- Strong infrastructure as code knowledge (Terraform preferred)
- Experience with telemetry tooling to monitor production systems (DataDog, Grafana, Prometheus)
- Experience with BCP/DR and high availability exercises
- Ability to quickly problem-solve and troubleshoot critical services
- Proficiency with scripting and automation (e.g Go, Java, Python, Bash)
- 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
- Understand and participate in the changing FedRAMP space by quickly ramping up with the 20x controls and building upon these to maintain federal compliance
- Own and champion high operational standards of Confluent Cloud systems leveraged by federal agencies
- Deploy production changes to Confluent Cloud systems and infrastructure through established change management processes
- Assist with process improvements and adoption of change management
- Own monitoring and incident handling of complex distributed systems, engaging engineering teams when needed through an escort model system
- Act as a core member of Confluents Business Continuity Plan and Disaster Recovery team with efforts across 3 large verticals
- Innovate and design solutions to reduce toil, bolster operational maturity, and make day-to-day worklife easier
- Participate in a 24/7 on-call rotation to maintain the integrity of Confluent Cloud for Government systems
Application process
- Deadline to Apply:
- November 20, 2025 at 7:00 PM UTC
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.
Share this job
View 35 more jobs at Confluent