Yellowbrick Data is a Silicon Valley based startup that invented a Kubernetes based cloud-native data platform for the hybrid multi-cloud world. Yellowbrick’s innovative platform can run in customer’s cloud accounts or on-premises private clouds, offering flexibility while ensuring data residency, localization, and sovereignty, all with significant performance improvements. Major insurers, credit card companies, telcos, healthcare firms and government agencies all trust Yellowbrick to transform data into actionable insights, quickly without compromising data security. Join us to drive business transformation at the forefront of data innovation.
Job Overview & Responsibilities
We’re a driven R&D team, solving hard-core computer science problems at all levels of the stack. What we do isn’t easy: We design hardware, build an operating system, pump data around at rates that need to saturate network and make optimum use of the CPU. All in all, we’ve created an new enterprise-grade database from scratch. Our database is used by customers on-premises and in the cloud.
Your job is to get data between servers across complex networks and software stacks, in parallel, with high throughput, low latency and reliability. You'll be building processes to move data from different storage systems (such as databases, S3/MinIO and disc) and different third party applications (such as ETL tools, Kafka and Spark) into and out of our database as fast as possible, in a cloud native microservices environment. This means you need to thrive in multi-threaded systems level programming in Java. You'll have a flair for creative solutions for integrating with big data ecosystem products such as Spark, Kafka, and cloud technologies like S3. You have a deep understanding of scalable algorithms and concurrency, and you're comfortable working with the intricacies of the TCP/IP stack, RSocket, and other networking protocols.
You'll have the opportunity to work across the entire software stack for our comprehensive data warehousing solution, both on-premises and cloud-native, which includes almost every aspect of Computer Science from operating systems to user interface and everything in between.
We’re based just off Trafalgar Square in the heart of London, and typically work from the office three days a week. We have great benefits, flexible vacations and an exceptionally talented engineer crew to learn from.
Qualifications
We encourage people from underrepresented groups to apply. Come advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Yellowbrick Data also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Yellowbrick Data.
Yellowbrick may keep any job application for a period of three years to allow Yellowbrick to consider you for other suitable openings within the Company in the future. If you would like to opt out from the Company’s policy of retaining your information for the purposes of considering you for other suitable openings, please email [email protected]. The full text of Yellowbrick's California, the European Economic Area and United Kingdom Job Applicant Privacy Notice can be found here.
To all recruitment agencies: Yellowbrick Data does not accept agency resumes. Please do not forward resumes to Yellowbrick Data employees or any other organization location. Yellowbrick Data is not responsible for any fees related to unsolicited resumes.
