Cloud Engineer (m/f/d)
München, Bayern, Germany
Machine Learning Reply
Machine Learning Reply ist das Unternehmen der Reply Gruppe, das auf maßgeschneiderte End-to-End-Lösungen im Data-Science-Bereich spezialisiert ...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:
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Banking CI/CD Computer Science Data Analytics DevOps Engineering ETL GCP GitLab Jenkins Kubernetes Machine Learning MLOps Physics Pipelines R Security Statistics Terraform
Perks/benefits: Career development Conferences Fitness / gym Flex hours
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