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Do you want to build a high-quality data platform that will innovate financial markets? 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
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
Using Claude Code and other AI tools responsibly to boost productivity
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
Experience with Java and Spring Boot
Experience with building and running applications on public cloud vendors like AWS
Working experience with one or more of the following technologies: Kafka
Kafka Streams processor API (not high-level DSL)
DataBricks
EMR
DeltaFlow
Experience profiling, debugging, and performance tuning complex distributed systems
Willingness to closely collaborate by pairing
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:
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, or similar through experience
What we offer:
Working directly with seasoned international engineers with experience at companies like Pivotal (including ex-Spring team members), VMware, Confluent (including Kafka committers), and Apple
Culture of trust, kindness, empowerment, and constructive feedback
Competitive salary, great IT equipment, and expense allowance
Flexible working times
Fully remote, with fun social activities and gatherings
A span of control that matches your ambitions and skills