Senior Platform Engineer (m/f/x)
DO YOU WANT TO MAKE A DIFFERENCE?
WE OFFER EXCELLENT OPPORTUNITIES FOR QUICK LEARNERS.

The DHL Group team is the leading mail and logistics service provider for the world. As one of the planet’s largest employers operating in over 220 countries and territories, we see the world differently. Join our team and discover how an international network that’s focused on service, quality, and sustainability, is able to connect people and improve lives through the power of global trade. And not just for our customers, but for every member of our team, too. DHL Data & Analytics is a Global Business Service Line in DHL
Group, focusing on leveraging data to create business value. We are a
dynamic, innovative, and globally diverse team with approximately 120 talented
professionals, including Data Engineers, Cloud Engineers, Dev Ops Engineers,
Data Scientists, and Architects. With presences in Singapore and Italy, Bonn, Germany serves as DHL Data & Analytics headquarters. As a sister service line, DHL Consulting collaborates with DHL Data & Analytics to recruit for this vacancy.
The team’s purpose is to
unleash the power of data science, drive cross-divisional AI solutions,
foster a data-driven culture, and accelerate digitalization within DHL
Group. As part of our work, the team is responsible for creating and
maintaining robust data platforms and data pipelines to ensure accurate and
efficient data processing and analysis. The team embraces diversity with over
20 nationalities represented and a 30% female workforce, fostering
collaboration and the pursuit of excellence.

Your role:
DHL introduced a modern Kubernetes based data science platform, making use of the open source Kubeflow solution. Our environment gives you the chance to work with and improve state-of-the-art open-source components combined with carefully chosen vendor-backed solutions.
We offer you a multi-month training on the job, enabling you to become a confident platform engineer who knows how to professionally build, deploy and maintain state-of-the-art machine learning platforms for our business use cases with cutting-edge technology.
You will improve the user experience of data scientists by making sure that our Kubernetes and Kubeflow Platform is highly available and has the latest and greatest tools available. From Jupyter Lab to Kubeflow Pipelines, KServe, MLflow, Ray and Spark you provide MLOps Engineers with the needed automation and templates.

Get to know our team from Kubecon 2023 ( Kubeflow talk ) and 2024 ( MLOps and security talks ).

Your profile.

You bring:
Practical experience in Kubernetes (Kustomize, Helm) and Python programming
Willingness to deepen programming and especially automation skills in Python and Bash
Routine experience with common Python tooling like uv, pip, Conda, pyenv etc.

You want to:
Learn and apply CI/CD and automation best practices with tools like Git Hub Actions, Argo CD, Terraform, Helm etc.
Work with Kubernetes on various levels and on multiple platforms (on-premises, Azure, GCP)
Manage authentication with Istio and oauth2-proxy and users in Azure Active Directory
Immerse yourself deeply in OCI image building and automation with Taskfiles
Create metrics and dashboards with Prometheus and Grafana
Dive into Kubernetes security, scheduling, and GPUs for LLMs

Bonus points for:
Experience with the large ecosystem of data science and ML related libraries and components like scikit-learn, pandas, polars, pytorch, rust to understand the data scientists needs.
Collaboration with infrastructure teams
Any open source or proprietary ML lifecycle management tooling and platforms such as Google Vertex AI, MLFlow, Azure ML, AWS Sagemaker, Databricks, Dataiku, …
Additional programming languages and frameworks such as Go, Streamlit, Ray, React Angular, Airflow, Ray and Spark
Your benefits.
At DHL Data & Analytics, we offer an array of benefits designed to support your professional growth and personal well-being. Here's what you can expect when you join our team:

Comprehensive training programs, workshops, and e-learning resources to prioritize your growth and development.
A flexible work arrangement that blends remote work and office presence, promoting work-life balance and adaptability.
A competitive salary package, inclusive of various benefits, to ensure employee well-being and satisfaction.
Diverse commuting options, including a job ticket for public transportation, parking space for a monthly fee, or bicycle leasing, to suit your preference.
Access to DHL Group's daycare facilities for working parents.
A dynamic, cooperative, and international environment that encourages new insights.

For questions, please send us an email via analytics.recruiting@dhl.com.
Are you interested
in this position with its varied tasks? Please click on “Apply
Here” and send us your complete application, including your CV, academic and
professional references, your desired salary and your earliest possible
starting date.

You
can find more information about us here: Linked In DHL Data & Analytics

We recruit on a rolling basis and accept applications until December, 10th, 2024 .
Apply now!

CONNECTING PEOPLE.
IMPROVING LIVES.