Senior Software EngineerOpen-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. Collaborate within an Agile, multi-disciplinary team. Develop code around the Apache Kafka broker, its client libraries (C/C++, Java, Python), its ecosystem frameworks (Kafka Connect, Kafka Streams, Cruise Control, Burrow, etc.) 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. Collaborate directly with product owners and application teams to understand requirements, conduct feature demos, and provide system design consultations. Identify feature gaps in the technologies and work with the open source community and our vendors to co-design and co-develop features and bug fixes.4+ years experience programming in Java, C++, Python, Go, Scala or similar in a production environment. A Degree in Computer Science, Engineering or similar field of study or equivalent work experience. Strong communication and collaboration skills. Strong understanding of distributed systems, data structures, algorithms and system design.
Experience designing and implementing low-latency, high-volume, and high-availability distributed systems. Commitment to writing meaningful unit tests and integration tests. Passion for distributed systems and large scale data systems. Familiarity with Apache Kafka. Familiarity with Kubernetes and Docker. Java programming experience.
Experience maintaining and contributing to large Open Source projects.
Experience evolving and monitoring systems at scale. Deep understanding of TCP/IP and Unix networking, Linux kernel performance.