- Experience
- 9+ yrs
- Salary
- EUR 100,000 – EUR 120,000 / year
- Openings
- 1
- Posted
- 8 ore fa
- Work mode
- Hybrid
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
We are collaborating with a rapidly growing, well-funded tech company based near Munich that develops a highly scalable cloud platform catering to enterprise clients. As the company expands following recent investment, they are seeking a seasoned DevOps Engineer to advance and scale their cloud infrastructure.
Key Responsibilities
- Design, build, and manage scalable cloud environments primarily on AWS and Google Cloud Platform.
- Create and maintain continuous integration and delivery pipelines, container deployment strategies, and infrastructure as code.
- Enhance platform reliability, monitoring capabilities, security, and performance in production settings.
- Work closely with software developers to deploy cloud-native applications and integrate AI workloads into live environments.
- Promote automation initiatives and play an active role in architectural decisions to support platform scalability.
Candidate Requirements
- Minimum nine years of professional experience in DevOps, platform engineering, or cloud infrastructure roles.
- Proficiency with containerization technologies, including Docker and Kubernetes, as well as infrastructure automation tools like Terraform.
- Experience working with CI/CD systems, Git version control, and modern observability and monitoring solutions.
- An interest in artificial intelligence, machine learning operations (MLOps), or ML infrastructure is beneficial though prior direct experience is not required.
- Fluency in German along with strong English communication capabilities is mandatory.
Offer and Working Conditions
- Salary package up to 120,000 euros per year.
- Hybrid work arrangement requiring two onsite days weekly in Munich.
- Opportunity to be part of a cooperative engineering team with genuine ownership of infrastructure and platform development.
- Exposure to cutting-edge cloud technologies on complex, large-scale systems.
Skills
Tools & software
Docker
required
Kubernetes
required
How they work
Communication
Teamwork & Collaboration
Problem Solving
Accountability
Languages
English
German