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Do you want to build a high-quality data platform on top of Kafka that will innovate financial markets? Does event-driven architecture spark your interest? Do you want to work for a company that uses modern techniques to achieve the best results for its clients while empowering and supporting you to realize your full potential? We are an experienced team of Spring committers, Kafka contributors, ex-Pivotal, Google, Apple engineers. We are a VC-backed fintech with a live product in the regulatory trade reporting space and a growing list of institutional clients (B2B). Our product journey has started in the US with a roadmap into Canada, UK, EU, Australia, and Singapore over the next twelve months. We are a start-up on a fast paced journey to scale-up. KOR is built on leading edge cloud technology by industry domain experts and world class in-house engineering. We're on a mission to innovate B2B trade servicing starting with regulatory reporting in time for a global wave of mandated changes hitting all segments of market participants across OTC derivatives transactions. We’re solving the most challenging problems around by bringing fresh designs and solutions to data utility, quality, and processing inefficiencies. . . while unlocking insane value for clients. Teamwork and laser focus are central to everything we do at KOR. With the right support, we believe small independent teams with deep expertises achieve better results and encourage skilled people to take responsibility and grow their careers. We live by the mantra of work humble, work smart, and work together.
Job Responsibility:
Designing and implementing the streaming data platform engine and SDK
Assisting in the design and implementation of our Kafka application architecture
Implementing new features for our range of web and streaming applications and data reporting capabilities
Be an active voice in the platform's build-out in regards to the technical choices and implementations
Working closely with the broader team to embrace new challenges and adapt requirements as we continue to grow and adjust priorities
Paired programming with a growing team of Back-end, Data, and Front-end Engineers
Requirements:
A minimum of 8+ years of experience as a Back End Engineer
Knowledge of Kafka and Kafka Streams including state stores
Demonstrable experience running and maintaining Kafka Streams workloads in production
Good understanding of the Processor API inside Kafka Streams
Experience with Java and Spring Boot Framework
Experience with building and running applications on public cloud vendors like AWS
Experience profiling, debugging, and performance tuning complex distributed systems
A firm reliance on unit testing and mocking frameworks with a TDD (Test Driven Development) mindset
Knowledge of OOP principles and modern development practices
Nice to have:
Kafka or Kafka Streams contributor
Working experience with DataBricks and Big Data solutions
Experience with horizontally scalable and highly available system design and implementation, focusing on performance and resiliency
Bachelor's Degree or higher in Engineering, Computer Science, or Information Technology
What we offer:
Culture of trust, empowerment, and constructive feedback
Competitive salary, great IT equipment, and expense allowance
Flexible working times
A span of control that matches your ambitions and skills
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