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

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.
Bachelor's Degree or higher in Engineering, Computer Science, or Information Technology, or similar through experience.

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

Senior Back End Engineer, Streaming Data Platform

Key skills