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Full Stack Software Engineer (m/f/d)

Machine Learning Reply · vor 30+ Tagen
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Job Description

At

Machine Learning Reply Germany we work with our clients on leading-edge projects for which we are seeking Full Stack Software Engineers to serve our cloud based client projects in multiple industries.

Machine Learning Reply, with its sister company in Italy and over 10.000 employees at Reply globally, is a fast-growing consultancy focused on solving problems with data intelligence and the right organizational frameworks as their backbone. We offer tailor-made end-to-end solutions in the software development domain that cover the entire project lifecycle - from the initial strategy consultation and planning to implementation and final hand-over to the client.

Whether you are an experienced full stack engineer or just graduated having gained first experience in software engineering - if you never lose focus, love coding, and are passionate for bringing your ideas to life, then we want to hear from you!

Responsibilities

  • Develop state-of-the-art Backend Components, Microservices and Cloud Infrastructures in a diverse and modern project environment
  • Engineering and implementation of production-ready cloud (native) infrastructures from Databases to S erverless
  • Establish best practices in software engineering and actively contribute to optimize our customers’ development standards, tools and processes
  • Closely interact with customers and stakeholders to translate concrete and complex business requirements into production-ready applications
  • Investigate new and emerging technologies in order to provide our customers with the optimal solution to their business requirements

What We Offer You

  • Flexible working hours, an attractive salary and a competitive overall package (e.g., 30 days of vacation)
  • Flexible work environment between client, Reply office and home office
  • Very active group social program, including trainings, knowledge-sharing sessions, conferences, team buildings, group events, Reply Exchange, communities of practices and hackathons
  • Trainings and certifications are encouraged and paid to foster your personal development
  • You choose your state-of-the-art work equipment
  • Access to our mobility scheme with Job Rad, company cars and public transport tickets
  • Gym-membership subsidy for a gym of your choice
  • Work in an open, flat environment, within a broad Reply knowledge sharing network
  • Working in a modern company, with the dynamics of a start-up and the security of a corporation. We are driving digital change in small, innovative, international teams.
  • Award winning office spaces for an excellent work experience and access to "Stammstrecke"

Requirements

Bachelor´s / Master’s degree in Computer Science or related fields (e.g., engineering, statistics, informatics)

  • Advanced and fluent usage of one of the following Programming Languages: .NET Core, C#, Java, JavaScript, Python, Rust (proven through project track record)
  • Practical experience in Backend Technologies such as NodeJS, Spring/SpringBoot, Flask/Django, REST APIs, GraphQL etc.
  • Practical experience in F rontend Technologies such as Angular, React, Typescript, etc.
  • Knowledge of CI/CD frameworks (e.g., Jenkins, GitLab CI) and the DevOps and GitOps concept (GitSecOps concept an advantage)
  • Hands-on experience with cloud technologies such as Azure and AWS as well as knowledge of Kubernetes is an advantage.
  • You are familiar with database concepts and possess understanding of APIs (types, protocols, etc.)
  • Ability to convincingly communicate project and development results within project structure
  • Fluent in English and able to speak German at least at a B1 level

What are you waiting for?

Join our team at Machine Learning Reply in Munich, Berlin, Hamburg orremote from all across Germany!

Zuletzt aktualisiert am 19.04.2024

Mehr sehen

Über das Unternehmen

Machine Learning Reply<p>As part of the Reply network with over 10.000 employees Machine Learning Reply has extensive expertise in the Data Science field across all key industries.</p>

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