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Ops Engineer in Streaming Data Analytics

ING
Katowice, województwo śląskie
Full time
2 tygodnie temu
We are looking for you, if:you tick the bigger part of these boxes:Education:
Bachelor’s degree in IT or equivalent

Technology, tools and process knowledge:
ITIL knowledge (Incident, Problem and Change Management)
ELK stack
Azure DevOps Pipelines
Docker / Kubernetes / Openshift
Kafka
Azure DevOps
Unix/Linux and bash scripting
Proficient in one or more programming languages (Java, Python)
Good working knowledge of Unix
Coaching skills
Mentoring and training consumers in the use of our platform
Facilitation skills
Mindset & soft skills
Willingness to do a deep dive into the internals of Apache Flink
Automation mindset & waste buster
Proactive attitude, always on the look-out for improving your and our way of working
Diplomacy and good communication skills
Not shy to express and defend his/her opinion in front of a crowd (even if it is not the popular opinion)
Analysis capabilities and testing abilities

You'll get extra points for:
being Communicative, articulative, pro-active, team-player and easy to approach.

Your responsibilities:
As an Ops engineer you will work in a multi-disciplinary squad of Ops and Dev engineers and will be responsible for improving the platform experience of our consuming teams, starting at their onboarding process throughout their entire lifecycle. You will use feedback from consuming teams as well as from your own team, metrics and logs from the system as input to further improve the scalability and resilience of the platform. You will either implement the improvements yourself and/or will work with your SDA squad members.

Your duties:
Improving the way we support our users,
Improving the way we run our platform and its resilience,
Performing problems root cause analysis and collaborate with the team on permanent solutions.

Information about squad :
Streaming Data Analytics (SDA) is a platform developed internally within ING aimed at getting real time insights based on real time data. The underlying technology is based on Apache Flink and Apache Kafka deployed using Microsoft DevOps on a Openshift cluster on our internal private cloud and soon also on the public cloud. Users of the platform are other teams within ING, spread across various domains and countries, that use the SDA platform for purposes like fraud detection, KYC and generating realtime actionable insights.

We are looking for an Ops engineer with a drive to help us mature our Streaming Data Analytics platform as part of the bigger ING Banking Technology Platform that enables ING to become a truly global bank.

The role naming convention in the global ING job architecture will be “Engineer III”.
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