Surf
Max 100 p/u
Utrecht
16 uur p/w
ICT Informatievoorziening
11de juni, 2025
16de juni, 2025
In the Future Network Services (FNS) project, SURF is providing a test bed environment based on a federation of Kubernetes clusters spanning the edge-cloud continuum. This test bed is used to support 5G/6G networking use cases within the FNS project. In addition, SURF would like to provide an MLops framework that can support the 5G/6G AI use cases from training to inference on top of the test bed. The DevOps engineer in the FNS project would work on both these tasks.
Activities:
Onboard FNS use cases on the FNS test bed and provide consultancy to use cases in the use and best practices of Kubernetes;
Maintenance of the FNS test bed and further development of the FNS test bed, as required by use cases;
Investigate the current state of the art in MLops frameworks/platforms and determine together with SURF architects and ML experts on the appropriate MLops platform for the FNS project;
Deploy an MLops platform on the FNS test bed, provide maintenance and continued development of the MLops platform;
Onboard FNS use cases on the MLops platform and assist use cases in making use of the MLops platform;
Provide technical MLops consultancy within FNS and SURF when needed.
Expected deliverables:
Up-to-date documentation and Infrastructure as Code (IaC) of all DevOps activities relating to the FNS test bed, so 1) the work can be reproduced and 2) future DevOps engineers can continue maintenance and development of the test bed;
A report and presentation for a SURF internal audience and/or external partner meeting of the FNS project about the work done as well learnings on the current state of the art of MLops frameworks with a recommendation on which framework should be selected for FNS.
Gevraagd Profiel
Deep understanding of Kubernetes.
Helm;
Linux;
Infrastructure as Code and CI/CD tooling (Git, GitLab CI/CD, ArgoCD and/or Flux);
Knowledge and experience with networking (preferably also 5G networks);
Low-level network understanding (including packet structures, protocol stacks and custom forwarding behaviours);
SRv6 (Segment Routing over IPv6) (architectures, use cases and implementation details);
Affinity with AI/ML workflows;
MLOps (model deployment, monitoring and lifecycle management);
Proven expertise in orchestrating and maintaining live, geographically distributed network systems, leveraging Kubernetes for orchestration;
Ability to take a PoC to a higher level of maturity;
Ability to effectively learn, implement, teach and communicate new technologies to people with varying technical backgrounds;
Ability to work within interdisciplinary teams (AI/ML, HPC, Networking, innovation).
Candidates must be proficient in both Dutch and English
N.v.t
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