Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Hanover
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop cloud-native infrastructures and automate CI/CD pipelines for AI applications within the EOSC ecosystem, utilizing modern technologies such as Docker and Kubernetes.
Job Technologies
Your role in the team
- We are looking for a DevOps/MLOps Engineer interested in building, optimizing, and operating cloud-native infrastructures for scalable, universally applicable AI assistants within the European Open Science Cloud (EOSC) ecosystem.
- The successful candidate has solid knowledge in software deployment, cloud-native platforms, containerization, orchestration, and automation, as well as practical experience in operating reliable infrastructures for AI and data-intensive workloads.
- The focus of the activity is on supporting cloud-native migration, building and operating software delivery and observability platforms, as well as ensuring scalable, secure, and reliable deployment environments.
- This includes virtualization, containerization, orchestration, CI/CD, deployment automation, monitoring and observability, secure access management, compute/storage/network setup, as well as the ability to migrate to EGI- and EOSC-compliant environments.
- Design and development of containerized architectures optimized for EOSC cloud environments.
- Development and operation of high-performance computing environments to ensure reliable, low-latency operation of universally applicable AI assistants.
- Development of automated software deployment cycles and CI/CD pipelines for frequent and reliable deployments in distributed ecosystems.
- Implementation of monitoring, logging, and alerting frameworks to ensure the state, performance, and security of services within the EOSC ecosystem.
- Configuration and maintenance of secure access controls and AAI integrations, including federated authentication and authorization mechanisms.
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Our expectations of you
Education
- Completed academic university degree (Master's or equivalent) in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.
Qualifications
- Very good knowledge of Linux fundamentals and system administration.
- Good knowledge of cloud-native technologies, especially Docker and Kubernetes.
- Good knowledge of Git and GitHub-/GitLab-based development workflows.
- Knowledge of OIDC/OAuth2 at the infrastructure level.
- Good programming skills in Python and/or Go.
- Excellent spoken and written skills in German and English.
Experience
- Experience with Infrastructure as Code (IaC) and automation tools such as Terraform or Ansible.
- Experience with monitoring and alerting systems such as OpenTelemetry or Grafana.
- Experience in building, maintaining, and automating CI/CD pipelines.
- Experience in managing or orchestrating resource-intensive AI workloads.
- Experience with EGI, OpenStack, or the EOSC ecosystem.
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What we offer
- The position is initially limited to the duration of the three-year project.
- An extension is possible.
- The regular weekly working hours amount to 39.8 hours (full-time).
- The workplace is generally suitable for part-time work.
- The activity is to be carried out primarily at the Hannover location.
- Mobile working is possible on a proportional basis in accordance with operational requirements.
- The classification is in pay grade 13 TV-L.
- A community-oriented workplace in the public service based on TV-L with a salary according to pay grade 13 TV-L.
- A special year-end bonus as well as 30 days of vacation per year based on a five-day week, plus additional days off on Christmas Eve (24.12.) and New Year's Eve (31.12.).
- A flexible workplace in terms of time and space, with options to reconcile work and family life, such as mobile working and flexible working hours (flextime).
- A modern workplace in a central location in Hanover with a collegial, attractive, and versatile working environment.
- An employer with a wide range of training and development opportunities, corporate health promotion, and retirement benefits for the public service (VBL).
- Employee discount at the cafeterias of the Hannover Student Union as well as the opportunity to use the diverse offerings of Hannover University Sports.
- Independent and forward-looking activities that offer variety and leave room for personal development.
- Funding for necessary equipment as well as conference participation and research stays.
- Participation in national, European, and international research and innovation projects.
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Benefits
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This is your employer
Leibniz-Gemeinschaft
The Leibniz Association represents 97 independent research institutions. The member institutions' areas of expertise are very diverse, ranging from the natural, engineering and environmental sciences, to the economic, spatial and social sciences, and the humanities.
Description
- Company Size
- 250+ Employees
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.9
Culture
4.0Engineering
3.5Career Growth
3.4Workingconditions
4.8
Dev/MLOps Engineer
- Location
- Hanover
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
