REMOTE München: DevOps POS58977 AWS Amazon Kafka Kubernetes Spark Docker

München, Bayern  ‐ Remote
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Beschreibung


REMOTE München: DevOps POS58977 AWS Amazon Kafka Kubernetes Spark Docker

Einsatzort: REMOTE München

Start: asap, bzw. Anfang Februar
Bis Ende 2021

Ort: REMOTE München
Umfang: Vollzeit oder Teilzeit möglich

Leistungsbeschreibung:
"Configuration and support of applications and services related to data engineering and data science deployed
in
both private and public clouds
"Support and interact with data scientists and data engineers
"Accomplish improvement in performance, reliability, and automation levels.
"Resolve incidents and change requests
"Write technical documentation and apply best practices
"Deliver new services for the Global Data Platform (GDP)

KEY REQUIREMENTS/SKILLS/EXPERIENCE
Our platform is a diverse product consisting of several technologies. This characteristic is reflected in our
cross
functional team of individuals who have a deep understanding of their technical specialty and at the same time
can
work outside of their comfort zone. We encourage to contribute your individual strengths and personality to
the
team and give you the room to develop some new skills and experiences.

A successful candidate is expected to
provide the following knowledge:
"Advanced knowledge in either Kubernetes or Hashicorp Nomad
"Advanced experience with Docker containers
"Kafka and Spark (administration and recovery in existingdeployments; programming internals)
"Development of CI/CD pipelines for Gitlab / Jenkins
"Strong knowledge in developing shell scripts (Bash or other POSIX shell)
"Familiarity with Python language (deploy packages; build and distribute python environments), preferably in
the
context of data science
"General understanding of Networking and IT Security Principles

Also, highly desirable knowledge that would highlight your profile:
"Elasticsearch (maintenance and operation of existing deployments, preferably within an orchestrator such as
Kubernetes or Nomad)
"Knowledge of the internals in data science tools such as Jupyter notebooks, R-Studio and Zeppelin notebooks
"Tools such as Airflow, Luigi and MLFlow
"Solid knowledge in GIT version control system
"Advanced Linux knowledge

"DevOps mindset (you build it, you own it)
"Fluent English (written and spoken) is a must, German language is a plus


Skills
Amazon Web Services (AWS): Seniorkenntnisse
MS Windows Server: Seniorkenntnisse
Start
01.2021
Dauer
12 Monate
Von
CAES GmbH
Eingestellt
21.01.2021
Ansprechpartner:
Rafael Gallus
Projekt-ID:
2033193
Vertragsart
Freiberuflich
Einsatzart
100 % Remote
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