Confluent

Rating:
5/5
Confluent is a cutting-edge technology company that provides real-time streaming data platform solutions. As organizations and businesses strive to become increasingly connected, Confluent helps support that growth and scalability. They provide businesses with the tools to quickly, reliably, and securely ingest, store, process, and interact with real-time data to build powerful and impactful applications. Confluent is renowned for their ability to create streaming architectures for businesses and organizations of any size. Their platform provides real-time data access and distributed messaging capabilities, allowing businesses to build and deploy real-time applications faster, cheaper, and more securely. Their powerful suite of streaming data platform solutions includes Kafka, an open-source distributed messaging platform that enables businesses to move data between systems quickly and securely; Connect, a powerful integration framework for quickly and efficiently ingesting, transforming, and routing data between applications; Streams, a lightweight, high-performance streaming runtime that enables developers to write streaming data applications in any language and framework; and KSQL, an interactive streaming SQL engine for building streaming applications. Confluent also provides complete support for enterprise customers with specialized features, including integrated security and governance, serviceability, and open source tools such as Apache Ranger and Apache Knox. Whether your business needs to ingest, store, process, and interact with real-time data quickly and securely, or leverage the speed, agility, and scalability of streaming technologies, Confluent has the tools and expertise to help.

Quick Links

Data Scientist

Average Work Hours (weekly unless noted): 40-45
Average Salary (yearly in dollars unless noted): $150,000 - $200,000
Description: We are looking for a top-notch Data Scientist to join the Confluent team. As a Data Scientist you will work closely with engineers, product management, and leadership to develop, automate, and refine data analysis and machine learning models. You will be responsible for leveraging data, statistical analysis and predictive modeling methods to solve complex analytics problems.
Qualifications / Requirements: We require a Master's degree in a quantitative field such as Mathematics, Data Science, Computer Science, Statistics, or other related field, as well as at least 5 years of experience in Data Science/Analytics. Expertise in relevant programming language such as Python, R, and Java is a plus.

DevOps Engineer

Average Work Hours (weekly unless noted): 45-50
Average Salary (yearly in dollars unless noted): $120,000 - $160,000
Description: Confluent is seeking a DevOps Engineer to join their team and help design, develop and maintain infrastructure for Confluent's cloud services. The successful candidate will be knowledgeable about working in the cloud, have experience with deploying and automating services, and have a good track record of building reliable, highly available services.
Qualifications / Requirements: We require at least 2-4 years experience with DevOps engineering or equivalent roles, as well as with AWS and Terraform. A thorough knowledge of Linux and scripting languages such as Bash and Python is also required.

Database Engineer

Average Work Hours (weekly unless noted): 45-50
Average Salary (yearly in dollars unless noted): $120,000 - $160,000
Description: Confluent is seeking a Database Engineer to join their growing team. This talented individual will design and develop database architectures and systems, ensure quality data delivery and efficient management of ongoing application development. The successful candidate will have a deep understanding of database technologies and will be responsible for managing and optimizing databases for performance, scalability, and reliability.
Qualifications / Requirements: We require a Bachelor's degree in Computer Science, Engineering, or similar technical discipline and at least 2-4 years of professional experience with database development, administration, or engineering. Expertise in SQL and relational database management systems is a must.

Security Engineer

Average Work Hours (weekly unless noted): 40-45
Average Salary (yearly in dollars unless noted): $125,000 - $180,000
Description: We are looking for an experienced Security Engineer to join the Confluent platform engineering team. The successful candidate will ensure the security, reliability and integrity of our products, services and systems by providing access control and shaping security policies, procedures and guidelines. With a deep understanding of security technologies, the Security Engineer will ensure that our products are secure and adhere to industry-standard best practices.
Qualifications / Requirements: We require at least 5 years of enterprise security engineering experience, including experience with the design and implementation of security systems, security architecture, and security best practices. Expertise in security technologies such as intrusion detection, firewall technologies, authentication and access control systems is also required.

Software QA Engineer

Average Work Hours (weekly unless noted): 40-45
Average Salary (yearly in dollars unless noted): $85,000 - $120,000
Description: Confluent is searching for a highly motivated Software QA Engineer to join their team. The Software QA Engineer will be responsible for developing and executing test plans and test automation scripts, analyzing test results, and providing guidance to improve test coverage. The QA Engineer will be part of an agile team tasked with developing software applications for Confluent's platform.
Qualifications / Requirements: We require a Bachelor's degree in Computer Science or related technical field, as well as at least 3-5 years of experience in software testing and/or automated testing. Experience with software development life-cycles, as well as a strong understanding of software design and architecture is desired.

Software Engineer

Average Work Hours (weekly unless noted): 40-45
Average Salary (yearly in dollars unless noted): $90,000 - $130,000
Description: Confluent is looking for a Software Engineer to join the platform engineering team who is excited to work on highly distributed systems and uses streaming technologies to enable event-driven architectures. The successful candidate will be an experienced, hands-on engineer and will collaborate with other team members to build new projects and maintain existing services. The software engineer will work with various technologies such as Kubernetes, Java, and Kafka.
Qualifications / Requirements: We require at least 1-3 years of hands on Software Engineering experience with Java and/or similar languages, as well as expert knowledge and familiarity with large-scale distributed systems/architectures (e.g., Kubernetes, Kafka) and streaming platforms.
Locations: San Francisco, New York, London, Munich, Seattle, Paris, Singapore
Career Paths: Software Engineer, Technical Program Manager, Solutions Architect, Product Manager, Data Scientist, DevOps Engineer, Site Reliability Engineer, Customer Success Engineer, Support Engineer, Solutions Engineer.
Job Contacts: jobs@confluent.io

Recent Reviews

Bobby M.
4.7/5
4.7
My experience working at Confluent has been amazing. Everyone from the executives on down to the entry-level staff is willing to learn and help each other out and grow together. The culture is incredibly supportive and the work is rewarding and challenging. I feel valued and appreciated for the work that I do, and the projects I am involved in are always intense, creative and inspiring. I am proud to be a part of such an innovative and forward-thinking company.

Frequently Asked Questions

What is Confluent?
Confluent is a streaming platform that runs in the cloud and on-premise. It helps companies to easily access, manage and process streaming data to make better decisions faster.
What technologies does Confluent use?
Confluent uses open source Apache Kafka for stream processing, Apache Connect for data collection, Apache Ignite for external storage, Apache Spark SQL for query parsing, and Confluent Cloud for cloud-native streaming.