Cloud Engineer (m/f/d)
München, Bayern, Germany
Machine Learning Reply
Machine Learning Reply unterstützt die Einführung von KI, um deine Geschäftsprozesse zu optimieren und Daten in wertvolles Wissen zu verwandeln.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
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.