At Numbrs, our engineers don’t just develop things – we have an impact. We change the way how people are managing their finances by building the best products and services for our users.
Numbrs engineers are innovators, problem-solvers, and hard-workers who are building solutions in big data, mobile technology and much more. We look for professional, highly skilled engineers who evolve, adapt to change and thrive in a fast-paced, value-driven environment.
Join our dedicated technology team that builds massively scalable systems, designs low latency architecture solutions and leverages machine learning technology to turn financial data into action. Want to push the limit of personal finance management? Join Numbrs.
You will be a part of a team that is responsible for developing, releasing, monitoring and troubleshooting large scale micro-service based distributed systems with high transaction volume. You enjoy learning new things and are passionate about developing new features, maintaining existing code, fixing bugs, and contributing to overall system design. You are a great teammate who thrives in a dynamic environment with rapidly changing priorities.
All candidates will have
a Bachelor's or higher degree in technical field of study or equivalent practical experience
experience with high volume production grade distributed systems
experience with micro-service based architecture
experience with software engineering best practices, coding standards, code reviews, testing and operations
hands-on experience with Spring Boot
professional experience in writing readable, testable and self-sustaining code
strong hands-on experience with Java (minimum 8 years)
knowledge of AWS, Kubernetes, and Docker
excellent troubleshooting and creative problem-solving abilities
excellent written and oral communication in English and interpersonal skills
Ideally, candidates will also have
experience with Big Data technologies such as Kafka, Spark, and Cassandra
experience with CI/CD toolchain products like Jira, Stash, Git, and Jenkins
fluent with functional, imperative and object-oriented languages;
experience with Scala, C++, or Golang
knowledge of Machine Learning
Location: residence in UK mandatory; home office