Deine Vorteile
Gross monthly salary of €3215 or €4286
Access to diverse industry projects
Interdisciplinary work and training
Industry-leading cloud and BI cooperations
Active social program and events
Open and flat work environment
Award-winning office space in Munich
Choice of state-of-the-art equipment
Public transport ticket provided
Gym membership subsidy
Flexible work environment options
Original Beschreibung
## Cloud Engineer (m/f/d)
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 r**esults 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