Hiring: Senior Software Engineer - Apache Kafka Infrastructure Company: Bloomberg Location: New York, NY Job Posted Time: 2026-09-10 10:37:42 Target Skills & Keywords : Agile, C, C++, Docker, Java, JavaScript, Jenkins, Kafka, Kubernetes, Linux, Node.js, Python, Scala, Systems Design, TCP/IP, Unit Testing, User Experience About the job Experience: •Comprehensive expertise in TCP/IP and Unix networking, Linux kernel performance •Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Qualifications: •The Bloomberg Managed Services organization (BMS) is responsible for creating and curating Bloomberg Engineering's "as a Service" software catalog and infrastructure. We develop and integrate products into a simple, elegant user interface and provide a concise way for engineers to create data-store and middleware instances. •We Work With Open-source frameworks and tools (Apache Kafka, Docker, Kubernetes, Node.js, OpenStack, etc) •Java, Scala, C++, Python, Javascript, and Go as required to provide these frameworks in an easy to use manner for developers •All projects follow the team's SDLC practices, including Docker-based unit testing, Jenkins integration, API documentation standards, etc. •We'll Trust You To Collaborate within an Agile, multi-disciplinary team •Develop code around the Apache Kafka broker, its client libraries (C/C++, Java, Python), its ecosystem frameworks •Work on Open Source projects within the Kafka ecosystem and contribute changes upstream •Develop an end-to-end full-stack user experience •Pick up on new frameworks, experiment, and build software that works seamlessly on various environments •Anticipate engineering needs and expectations from Bloomberg engineers, and build solutions that work for them Compensation: •$160,000 - $240,000 / year •Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus •The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!