# MLOps Engineer

Are you excited about bridging cutting-edge AI and robust secure infrastructure operations? Then you’ve come to the right place! At the Jülich Supercomputing Centre (JSC), we operate some of Europe’s most powerful computing systems and provide them to science and engineering communities in Germany and across Europe. Within this mission, the JUPITER AI Factory (JAIF) is being established as a major pillar of Europe’s AI infrastructure in Jülich—providing simplified access to JUPITER, Europe’s first exascale-class supercomputer, for all of its user groups.

We are looking for an MLOps Engineer, a hands-on operator to help bring AI models into production-inference on JAIF using the BLABLADOR AI inference suite. We have created the BLABLADOR LLM inference server in 2022, in order to provide the Helmholtz Association with a simple-to-use, private Large Language Model infrastructure. It has been steadily growing in usage, in this age of agentic AI and multi-modal models. We are working on scaling BLABLADOR to attend thousands of simultaneous users.

### Your Job

As an MLOps Engineer, you will work at the intersection of AI enablement and production-grade operations—helping teams run model inference services that are dependable, scalable, and secure. Your key responsibilities include:

- **Model Onboarding & Deployment:** Take AI models from internal and external users into production inference workflows. Package and deploy models as containerized inference endpoints. Define and operate validation gates covering functional checks, performance benchmarks, and safety/security requirements before production rollout.
- **Platform Operations & Reliability:** Run and maintain BLABLADOR as an operational inference suite within JAIF's environment, aligned with the goal of enabling high-performance, secure, privacy-compliant AI applications. Ensure reliability through comprehensive monitoring, logging, alerting, incident response, and post-incident improvements. Handle day-2 operations including upgrades, patching, lifecycle management, and capacity planning.
- **Scalability, Performance & Efficiency:** Tune inference services to optimize latency, throughput, batching, GPU utilization, and multi-tenant fairness.

### Your Profile

We are looking for a colleague who can confidently operate modern infrastructure and understands what it takes to run AI inference services in production.

**Required / strong fit:**

- Excellent Master degree in Computer Science, Mathematics or comparable relevant fields
- Relevant experience in platform operations, Site reliability engineering, DevOps, or infrastructure engineering
- Practical expertise with containers and OCI tooling (e.g., Docker/Podman, image builds, registries, runtime troubleshooting)
- Experience operating cloud technologies and orchestration (e.g., Kubernetes and its ecosystem)
- Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the [CEFR](https://go.fzj.de/languagerequirements)), ideally supported by a certificate confirming the language level. Knowledge of the German language is not mandatory but certainly appreciated

**Nice to have:**

- Infrastructure-as-code and CI/CD experience (e.g., Terraform/Ansible, GitOps)
- Observability stacks (e.g., Prometheus/Grafana, ELK/OpenSearch, Loki, OpenTelemetry)
- Familiarity with AI model inference engines and serving stacks (e.g., TensorRT, Triton, vLLM serving, or comparable inference frameworks)
- Experience with web service deployment, such as reverse proxies, TLS certificates, load balancing, API endpoints
- Experience with GPU scheduling/operations and performance debugging on accelerated systems
- Strong Linux skills (process/network debugging, automation, scripting)
- Prior work in (or with) research computing, scientific environments, or multi-tenant platforms

**How you work:**

- You enjoy structured operations: measurable SLOs, calm incident response
- You communicate clearly across disciplines and hierarchies in an international context

### Our Benefits for You

We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:

- **Working Environment:** A highly relevant mission at the intersection of exascale computing and AI, including JAIF’s goal of enabling broad access to JUPITER and its planned cloud-based inference capabilities.
- **Work-Life-Balance:** Optimal conditions for balancing work and private life, as well as a family-friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on-site) appointments
- **Flexibility:** Flexible working time models, [including options close to full-time](https://go.fzj.de/near-full-time), allow you to tailor your working hours to suit your individual needs
- **Knowledge & Further Training:** Your professional development is important to us – we provide targeted, individual support
- **Health & Well-Being:** Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e.g., a beach volleyball court, running groups, yoga classes, and much more. In addition, our company medical service and an experienced social counseling team are available to assist you on site
- **Vacation:** You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's)
- **Fair remuneration:** Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on the[BMI website](https://go.fzj.de/bmi.tvoed). The monthly salaries in euros can be found on page 69 ff. of the PDF download
- **Perspective:** After a 2-year fixed-term contract, our goal is to hire you on a permanent basis. Let's use this time to find out how well we fit together
- **Additional benefits:** Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to your basic salary, you will receive an annual bonus and capital-forming benefits
- **Support for international employees:** Our International Advisory Service makes it easier for international employees to get started

In addition to exciting tasks and a collegial working environment, we offer you much more: [https://go.fzj.de/benefits](https://go.fzj.de/benefits)

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities: [https://go.fzj.de/equality](https://go.fzj.de/equality) and on specific support options: [https://go.fzj.de/womens-job-journey](https://go.fzj.de/womens-job-journey)

**Place of Employment:**Jülich

**Start Date:** To the next possible date

**Working Hours:** 39 hours / week

**Salary:** Pay grade 13 of the TVöD-Bund

**Application Deadline:** 2026-04-08

[Application Process](https://go.fzj.de/ApplicationInformation) [Contact form](mailto:karriere@fz-juelich.de?subject=Query%20about%202026T-0326%20MLOps%20Engineer)

[Career portal](https://go.fzj.de/Careers) [Forschungszentrum Jülich GmbH](https://www.fz-juelich.de/en) [Legal Notice](https://cs-media.b-ite.com/forschungszentrum-juelich/impressum-recruiting-en.pdf)