Job Detail

Software Architect - Remote

Inseriert am: 29.05.2020

Numbrs Personal Finance AG is a technology company. Our product is Numbrs, a multibanking application available for iOS and Android. Numbrs is one of the most widely used banking apps in Germany and was recently launched in the UK.


Numbrs is reshaping the future of the workplace. We are a fully remote company, at which every employee is free to live and work wherever they want. We are a team of professional, hard-working, supportive and entrepreneurial individuals with a passion for execution.


We are seeking professionals who can thrive in a fast-paced environment where attention to detail, excellent communication skills, and a talent for delivering out-of-the-box ideas are essential. Do you want to have a real impact on the future of the financial industry? Join Numbrs.


Job Description


You will work in the Architecture team to support the Head of Technology in all the activities of the Technology department. You will be responsible and accountable for the oversight of all aspects of engineering operations, the architecture and design of Numbrs platform, and the delivery of services and solutions within Technology.


Key Qualifications



  • a Bachelor's or higher degree in the technical field of study or equivalent practical experience

  • a minimum of 5 years experience architecting, developing, evolving and troubleshooting large scale distributed systems

  • hands-on experience with micro-service based architecture

  • experience with software engineering best practices, coding standards, code reviews, testing and operations

  • hands-on experience with Java

  • knowledge of AWS, Kubernetes, and Docker

  • leadership experience

  • excellent troubleshooting and creative problem-solving abilities

  • excellent written and oral communication and interpersonal skills


Ideally, candidates will also have



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

  • experience with machine learning and big data technologies, such as Kafka, Storm, Flink and Cassandra

  • experience with encryption and cryptography standards


Location: Home office from your domicile

Details