Germany onlyAt 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 engineeror 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-membershipsubsidy 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
