Security Engineer, Confluent
$139.2-163.6k
+ Equity + Bonus
Data streaming platform
Open for applications
Data streaming platform
1001+ employees
Open for applications
$139.2-163.6k
+ Equity + Bonus
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+ years of relevant industry experience
- Strong domain knowledge in security incident detection and response
- Hands-on experience in instrumenting and deploying telemetry solutions to ensure visibility in large-scale, heterogenous deployments
- Demonstrated experience with effective incident response and containment practices, preferably in a cloud-first environment
- Experience with operating open-source and/or commercial solutions for logging and security event management
- Decision-maker with the ability to operate with freedom and autonomy
- Experience working with distributed teams and other cross-functional stakeholders
- Ability to manage competing priorities and workload
- Ability to script or code fluently in an interpreted language
- Experience with serverless deployments in AWS, GCP, or Azure is a plus
What the job involves
- We are looking for an experienced security engineer to join our infrastructure security engineering team with a strong focus on detection and response
- You will have a unique opportunity to leverage your threat detection and response experience and build some of the foundational systems and services to keep our infrastructure free from malicious actors and threats
- You will partner closely with all engineering teams, IT administrators, and compliance analysts to ensure that we maintain sufficient visibility into our environments and develop effective programs and practices to ensure that our environments are always secure
- Tooling and automation will be key to success as we scale our environments to meet customer demand
- Collaborate with engineering teams for building and setting up pipelines needed to gather relevant security telemetry
- Build and maintain an effective and scalable security monitoring infrastructure solution
- Develop detection strategies to identify anomalous activity and ensure that our critical infrastructure and services operate in a safe environment
- Triage alerts and drive security incidents to closure while reducing its potential impact to Confluent
- Build processes and workflows to triage security alerts and respond to real incidents
- Research new threat attack vectors and ensure that our detection and response capability is in line with the current threat landscape
- Proactively improve the quality of our detection rules and strive to eliminate classes of issues by working directly with engineering teams
- Contribute to strategy, risk management and prioritization for all efforts around detection and response
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
Few 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
Articles
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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