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Cloud Engineer (m/w/d)
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Cloud Engineer (m/w/d)

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1 Vacancy
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Job Location

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Munich - Germany

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 1685908

Job description

At Machine Learning Reply Austria we strive to work on leading-edge data science projects with our clients for which we are seeking Cloud Engineer consultants with a strong technical background.

Machine Learning Reply, with its sister companies in Italy and Germany and over 8500 employees at Reply globally, is a fast-growing consultancy focused on solving problems with Data Science, Cloud technologies and the right organizational frameworks as their backbone. We are a tight knit, laid back, but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.

We offer tailor-made end-to-end cloud-based solutions in the Data Science area that cover the entire project life cycle - from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of production-ready algorithms.

We have a vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven solutions and to optimize already existing processes and products while simultaneously adapting to cloud technologies.

Tasks:

Use your cloud know-how and work closely with our customers to find out what the perfect (cloud) technology is for them!

  • Through your knowledge you are able to design innovative, technical approaches for cloud solution architectures
  • Your designed cloud architectures (based on AWS, Microsoft Azure or Google Cloud) will be implemented by you also always considering DevOps / MLOps
  • You will not be alone and will work closely with colleagues from Data Science or Data Engineering to jointly develop data-intensive applications such as data warehouses, data lakes and/or data platforms
  • You enjoy brainstorming, conceptualization and final implementation. You therefore like to accompany the complete LifeCycle by creating specifications, code and presentations for your solutions.
  • As part of the Reply network, you join communities of practice, participate in hackathons and use all available learning resources

What we offer you:

  • We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least 3215 (Consultant) or 4286 (Senior Consultant) depending on your previous experience.
  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.)
  • Very active group social program - including conference funding, team building, group events, Reply Exchange
  • Recognition for Innovation to foster your personal development
  • Work in an open, flat environment, within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
  • Office space in downtown Vienna with access to Stammstrecke
  • Training and certification encouraged
  • Home-office contracts
  • State of the art work equipment
  • Award winning office spaces for an excellent work experience
  • Public transport ticket within Vienna
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office and remote work

Requirements

  • We are looking forward to your completed studies in (business) computer science, mathematics, statistics or comparable
  • You have experience with cloud services from AWS or Azure, alternatively you have extensive knowledge with on-premise solutions
  • A solid understanding of Linux systems is a big plus, as well as an interest in Terraform, CloudFormation, and Ansible
  • Knowledge of databases, networks or cluster technologies
  • Ideally, you are familiar with a programming language such as Python, shell scripting, or even Perl, and have had initial experience with Big Data technologies such as Spark, Hadoop, or Kafka
  • Fluent German and English skills round out your profile

Employment Type

Full Time

Company Industry

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