DHL

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Kubernetes DevOps Engineer - Data Science Platform

About the role:Would you like to be part of DHL IT Services? Our Data Lake & Science Platform team is looking for a Kubernetes DevOps Engineer star! You will develop and operate a global DHL Kubeflow based Data Science Platform that sits at the heart of DHL digitalization effort. You will join a platform DevOps team that is on a mission to catapult DHL into data driven enterprise. Apply and be part of one of the most impactful and upstream IT teams in DHL.
Your work:As part of DevOps product team you will take end-to-end care of DHL Kubeflow platform, that includes operating, scaling, supporting and engineering the platform • Operations: overlook daily operations, maintenance, monitoring and capacity situation for 24x7, business critical, on-prem & on cloud (GCP & Azure) platform • Harden & Scale: grow & stabilize the platform to meet rapidly growing demand and load • Support: help, troubleshoot and consult use cases, solve incidents, coordinate changes • Development: further engineer and automate the platform, keep up with rapidly developing technologies. Strong focus is on infrastructure
Team & TechThe Team: Work in a highly skilled, highly motivated international team of unique professionals. Learn very fast, have a high impact and start-up feeling from day one.We follow scrum principles, trace work on Jira, communicate via slack and live high trust DevOps culture.
Our Tech: • Data Science Platform based on Kubeflow open source project • Kubernetes Infrastructure (on-prem on Rancher, on Cloud on Azure AKS & GCP GKE) • Mapr (HPE) Hadoop cluster as on-prem storage with Hive, Spark, Drill, Hue services • Jenkins, Ansible, Git, Terraform as automation engine • Airflow to orchestrate data injection • Elastic Search (OpenSearch) for central logging and serving specific use cases needs • Prometheus / Grafana for Monitoring
You should have: • Master degree in computer science or related field • Very good knowledge of Kubernetes on-prem and possibly on cloud (AKS / GKE) • High skills on infrastructure automation using Ansible, Terraform, Jenkins and Git • Hands-on experience in working within Open Source Communities, best as contributor • Some development skills in Python to be further developed in data science context • Working knowledge with network, security and infrastructure administration • Hands-on experience in running 24x7 critical, high load, big scale production platforms • Good understanding of Linux, preferably Red Hat Enterprise • Familiarity with Kubeflow stack (Istio, Knative etc. ) is a plus but not necessary (you will get trained) • Working experience on Microsoft Azure / GCP is a plus • Ability to use English in daily communication • Ready to learn extremely fast in a very agile, high pace environment with high level of autonomy
What do we offer: • Young team of motivated professionals from across the globe, always ready to support you • A great opportunity to advance your career to a global level, with lots of learning included • Professional and industry-recognized technical trainings and certifications • An extra week of holiday (25 days per year) • 6 Self-sickness days/year • Company car / car allowance • Full salary compensation for up to 10 days absence due to illness per the calendar year • Meal vouchers fully covered by DHL • Benefit cafeteria system by EDENRED • On-going professional and technical training and certifications • A multicultural environment in modern offices • Pension plan contribution • Multisport card • Employee Referral Program • Company sponsorship of various sports and social clubs • Smart casual dress code • Huge number of internal growth opportunities
In DHL ITS Prague, you will have the opportunity to be part of over 1650 highly skilled IT professionals of 67 nationalities.Would you like to develop your career in DHL ITS Prague – the largest data center operation in the Czech Republic? Start your application now!
For more details feel free to contact lukas.mandzikievic@dhl.com.
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Stunden:
Vollzeit
Art des Stellenangebotes:
Intern

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