FreshRemote.Work

Cloud Engineer (m/f/d)

Remote job

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for Cloud Engineers to support our cloud-based customer projects in various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing expert advice and technical support to our clients.

If you're a cloud engineer or just starting out in cloud infrastructure development and cloud engineering - if you never lose focus, love coding, data and AI, and are passionate about bringing your ideas to life - then we want to hear from you!


Responsibilities:

  • Design innovative technical approaches to cloud solution architectures on AWS, Azure or GCP, from complete greenfield approaches to complex migration scenarios.
  • Automate recurring tasks with cutting-edge CI/CD pipelines, enabling your customers to significantly reduce their time-to-delivery.
  • Stay up to date with the latest trends and advancements in cloud-based technologies, specifically in AWS, Azure and GCP.
  • Closely interact with customers and stakeholders to translate concrete and complex business requirements for security, costs and operations into production-ready infrastructures
  • Collaborate with a variety of disciplines, including enterprise architects, analysts, data scientists, and data engineers, to develop platforms for data-intensive workloads and applications.


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.)
  • Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science
  • Benefit from industry-leading cooperations in the cloud, BI, and AutoML field
  • Very active social program - including training, conferences, team buildings, Reply Exchange, communities of practices, and hackathons
  • Work in an open, flat environment, within a broad Reply knowledge-sharing network
  • Award-winning office space in downtown Munich with access to “Stammstrecke”
  • You choose your state-of-the-art equipment
  • Public transport ticket with Deutschlandticket
  • Gym-membership subsidy for a gym of your choice
  • Flexible work environment between client, Reply office, and remote work

Requirements

Minimum Job Requirements / Qualifications:

  • Bachelor’s / master’s degree in computer science or any other related fileds (e.g. engineering, statistics, physics).
  • First practical experience with Microsoft Azure, AWS or GCP or substantial knowledge about private cloud/ on-premises solutions.
  • Proficiency with industry standard Infrastructure as Code (IaC) solutions like Terraform and DevOps tools (GitLab CI, Jenkins, etc)
  • Ability to convincingly communicate and present results to management.
  • We cover the full lifecycle of Data, from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. Interest and/or experience in some of those fields is an advantage.
  • Fluent in English and able to speak German at least at a B2 Level.


Desired:

  • Extensive practical experience working in cloud technologies (AWS, Azure or GCP) as well as according certificates.
  • Understanding of large-scale data processing requirements (data models, ETL pipelines, workflow orchestration, distributed computing, databases, etc).
  • Kubernetes Know-How and a passion for DevOps Culture are a plus
Apply

Job Profile

Benefits/Perks

Active social program Flexible work environment Gym membership subsidy Interdisciplinary work State-of-the-art equipment Training opportunities

Tasks
  • Automate tasks with CI/CD
  • Collaborate with various disciplines
  • Design cloud solution architectures
  • Translate business requirements into infrastructures
Skills

AWS Azure CI/CD Cloud Engineering Cloud Technologies Data & Analytics Data engineering DevOps GCP GitLab CI Infrastructure as Code Jenkins Kubernetes ML engineering MLOps Terraform

Experience

1-3 years

Education

Bachelor's Computer Science Master's Physics

Timezones

UTC+1