Site Reliability Engineer, Confluent

FedRAMP

$131.6-154.6k

+ An annual bonus, and a competitive equity package. Salary dependent on location

AWS
Kubernetes
Python
Java
Bash
Go
Terraform
Pulumi
Junior, Mid and Senior level
Remote in US

More information about location

Confluent

Data streaming platform

Job no longer available

Confluent

Data streaming platform

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Job no longer available

$131.6-154.6k

+ An annual bonus, and a competitive equity package. Salary dependent on location

AWS
Kubernetes
Python
Java
Bash
Go
Terraform
Pulumi
Junior, Mid and Senior level
Remote in US

More information about location

1001+ employees

B2BEnterpriseInternal toolsBig dataCloud Computing

Company mission

Founded by the team that built Apache Kafka, their mission is to make managing Kafka easy.

Role

Who you are

  • Confluent Cloud delivers a complete end-to-end streaming experience as a Software as a Service (SaaS) model
  • 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

  • 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
  • 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

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

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.

Insights

Led by a woman
Top investors

Some candidates hear
back within 2 weeks

27% female employees

14% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Apr 2020

$250m

SERIES E

Jan 2019

$125m

SERIES D

Total funding: $455.9m

Company values

  • Earn Our Customers' Love - Our customers are the lifeblood of our business and our most important stakeholder. We strive to earn their love with everything we do
  • To Build a Great Company, Build a Great Team - We believe that an important part of building a great company is making sure that our employees are the best they can be.
  • Smart, Humble, and Empathetic - Our employees appreciate, benefit, and learn from working with other smart, humble, and empathetic people. We strive to hire those who care deeply about others and interact with empathy towards our customers, partners, and employees.
  • Be Fired up and Get It Done - As much as we benefit from working with smart, humble, and empathetic employees, we also need to “get it done” to pursue our enormous market opportunity. We are in hyper-growth mode and are scaling to fill the demands of the market and our current and future customers.
  • Tasteful not Wasteful - We want to invest in areas that matter the most -- in other words, spend “tastefully,” not wastefully. We believe that thoughtful spending is essential to building a high-quality business.
  • One Team - It is critical that we act as and make decisions as a unified company, doing our best to optimize globally rather than locally. This means doing our best to avoid the misalignments that some companies can be prone to. It means recognizing that when employees and teams succeed, Confluent as a whole succeeds.

Company HQ

Mountain View, California

Founders

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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