Jobs at Confluent

Positions 62,031

Confluent, founded in 2014 by former LinkedIn engineers, delivers a real‑time data streaming platform built on Apache Kafka. Its flagship products—Confluent Platform and Confluent Cloud—enable enterprises to ingest, process, and analyze data streams at scale, powering use cases from fraud detection to IoT telemetry.

Confluent hires across the entire tech stack. Typical openings include Software Engineers, Data Engineers, Platform Engineers, Site Reliability Engineers, Security Engineers, Product Managers, and Customer Success specialists. Candidates can expect rigorous technical interviews, a culture that rewards open‑source contributions, and flexible work arrangements that blend remote and on‑premise teams.

By reviewing Confluent listings on Job Transparency, applicants see real salary ranges, equity packages, and employee sentiment scores for each role. This data lets you benchmark against industry averages, negotiate more effectively, and gauge team culture before submitting an application.

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Frequently Asked Questions

What is it like to work at Confluent?
Working at Confluent means collaborating on high‑impact streaming solutions, contributing to open‑source projects, and benefiting from a flat hierarchy that encourages experimentation. Employees report a strong emphasis on continuous learning, data‑driven decision making, and a flexible work environment with remote options and generous equity.
What types of positions are available at Confluent?
Confluent offers roles in software development, data engineering, platform operations, security, product management, sales, marketing, and technical support. The most common openings are Software Engineer (Backend, Frontend, or Full‑Stack), Data Engineer, Platform Engineer, SRE, and Product Manager.
How can I stand out as an applicant for Confluent?
Stand out by showcasing hands‑on experience with Kafka or other streaming frameworks, contributing to open‑source projects, and demonstrating measurable impact in previous roles. In your application, highlight performance optimizations, real‑time analytics use cases, and any public code or documentation you have authored.

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