Cloud Engineer (m/f/d)

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

If you're a cloud engineer or just starting out in cloud infrastructure development and engineering — if you love coding, data, AI, and bringing ideas to life — we want to hear from you!

Responsibilities:

1. Design innovative cloud solution architectures on AWS, Azure, or GCP, from greenfield projects to complex migrations.
2. Automate tasks with CI/CD pipelines to reduce time-to-delivery for clients.
3. Stay updated with the latest trends in cloud technologies, especially in AWS, Azure, and GCP.
4. Work closely with customers and stakeholders to translate business requirements into secure, cost-effective, and operational infrastructures.
5. Collaborate with enterprise architects, analysts, data scientists, and data engineers to develop data-intensive platforms.

What we offer:

• A gross monthly salary of at least €3215 (Consultant) or €4286 (Senior Consultant), based on experience, according to the collective agreement.
• Opportunities to work on diverse projects across industries like banking, insurance, automotive, and retail.
• Skills development through interdisciplinary work and training in data engineering, cloud architecture, and data science.
• Industry-leading collaborations in cloud, BI, and AutoML.
• Active social programs including training, conferences, team building, communities of practice, and hackathons.
• An open, flat work environment within a broad Reply knowledge-sharing network.
• Modern office space in downtown Munich with access to public transport.
• Choice of state-of-the-art equipment.
• Public transport subsidy with Deutschlandticket.
• Gym membership subsidy.
• Flexible work arrangements between client sites, Reply office, and remote work.

Minimum Job Requirements / Qualifications:

• Bachelor’s or master’s degree in computer science, engineering, statistics, physics, or related fields.
• Experience with Microsoft Azure, AWS, GCP, or private cloud/on-prem solutions.
• Proficiency with Infrastructure as Code tools like Terraform and DevOps tools such as GitLab CI, Jenkins.
• Effective communication and presentation skills for management reporting.
• Interest or experience in data lifecycle management, from cloud infrastructure to ML engineering and MLOps.
• Fluent in English and at least B2 level in German.

Desired:

• Practical experience with cloud technologies and relevant certifications.
• Understanding of large-scale data processing, including data models, ETL pipelines, orchestration, distributed computing, and databases.
• Kubernetes knowledge and passion for DevOps are a plus.

Additional Details:

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and Consulting

Note: This job posting is active and accepting applications.