bringing Go people to Go jobs

Posted
Luxembourg City, Luxembourg

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.

Job Description

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. You will also be responsible for leading the day-to-day operations of the Company.

All candidates will have

a Bachelor's or higher degree in technical field of study

a minimum of two years experience designing, developing and troubleshooting large scale distributed systems

hands-on experience with highly concurrent production grade systems

excellent knowledge of at least one modern programming language, such as Go, Java, C++ and Scala

excellent troubleshooting and creative problem-solving abilities

good written and oral communication and interpersonal skills

willingness to travel

Ideally, candidates will also have

experience with systems for automating deployment, scaling, and management of containerised applications, such as Kubernetes and Mesos

experience with big data technologies, such as Kafka, Spark, Storm, Flink and Cassandra

experience with encryption and cryptography standards

Location: Luxembourg

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