The energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast - while keeping up the quality and accuracy we're known for. It's what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us, too. You can do amazing work here. Work you couldn't do anywhere else. It's up to you to make it happen.
The DataHub Engineering team provides a distributed platform for hosting datasets, complete with managed data stores, search, discovery, batch analytics and real-time stream processing capabilities. Our goal: ensuring high quality content, which is the life blood of financial markets, is cataloged, standardized, discoverable, distributed and accessible in one place. The platform offers low latency, high availability data stores, pipes, stream processing, real-time change data capture, distribution and discoverability services. That's where you come in.
Who are you: You're an innovative problem solver who enjoys working in multiple roles and thrives in a fast-paced, collaborative environment. You are curious, kind, continually learning, and happy to share what you learn. You enjoy pursuing complex issues to their root cause. You are proficient in systems engineering and have production experience with Kubernetes.
What's in it for you: You will be part of a team that is building the foundation for supporting data processing needs companywide leveraging K8S infrastructure. You will be a catalyst in building and managing dozens of k8s clusters across several environments and products. You will also have the opportunity to contribute to Kubernetes and other open source projects. DataHub is a platform for all application groups at Bloomberg, offering you opportunities to interact with many engineers throughout the company.
As a Kubernetes SRE in the DataHub team, you will be responsible for customizing Kubernetes clusters to host DataHub applications, design and hands on execution of monitoring, alerting, observability systems. DataHub uses many distributed systems like Kafka, Airflow, Spark, Vitess offering you opportunity to work with all these technologies. In addition our objective is baremetal K8S clusters for high efficiency, scale, low latency performance.
4+ years of professional experience in any one of these Linux systems, networking, distributed systems
Programming skills in any one of these Python, Ansible, Go preferred
Good understanding of container run-time, and any one of: K8S, Mesos
Experience in software instrumentation for monitoring and observability
Experience with automation, idempotent deployments testing, continuous delivery pipelines, and documentation
BA, BS, MS, PhD in Computer Science, Engineering or related technology field
If this sounds like you, apply! We are a global team with engineers based in New York, Princeton, and London. We're open to hiring someone to work in any of these locations.
Bloomberg is an equal opportunities employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.