Software Engineer - Data Movement - Client Tools & Connectors

Reposted 18 Days Ago
Be an Early Applicant
London, Greater London, England
Senior level
Cloud • Information Technology
The Role
As a Software Engineer at Yellowbrick Data, you'll design and develop high-performance software for data movement across complex networks. Responsibilities include integrating various storage systems with a focus on parallel processing and distributed systems using Java, while ensuring high throughput and low latency.
Summary Generated by Built In

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  

  • 5-10 years of experience designing and developing software that users are successfully running in production
  • Experience with the cycle of design, development and customer release
  • Passionate about high performance and excited to work on parallel processing and distributed systems
  • Fundamental computer science – as many of the following areas of experience:
    • Concurrency and multithreading
    • JIT and GC profiling and optimizations
    • Distributed algorithms
    • Cloud-native microservices and Kubernetes
    • Public cloud technologies in use at AWS and Azure such as S3, EKS
    • Multicore programming
    • Kafka and Spark
    • SQL and relational databases and associated Big Data file formats and protocols
    • Internals of open source or commercial databases
  • Strong knowledge of and experience with Java, C++ and C   

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.


Top Skills

AWS
Azure
C
C++
Eks
Java
Kafka
Kubernetes
S3
Spark
SQL
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The Company
Palo Alto, CA
145 Employees
On-site Workplace
Year Founded: 2014

What We Do

Yellowbrick is the world’s fastest data warehouse for hybrid and multi-cloud environments. Enterprises rely on Yellowbrick to power critical business outcomes and get answers to the hardest business questions for improved profitability, better customer loyalty, and faster innovation in near real time, and at a fraction of the cost of alternatives. Yellowbrick offers superior price/performance for thousands of concurrent users on petabytes of data, along with the unique ability to run analytic workloads on-premises, in a private cloud, and/or in any public cloud and manage them in a simple, consistent way—all with predictable pricing via annual subscription. Learn more at yellowbrick.com. 

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