Ops Engineer in Streaming Data Analytics

Posted 3 Days Ago
Be an Early Applicant
Katowice, Śląskie
Mid level
Fintech • Payments • Financial Services
The Role
As an Ops engineer, you will work with a team to enhance the platform experience for users of the Streaming Data Analytics platform. You'll focus on improvements in support and platform resilience while conducting root cause analysis for problems and collaborating with the team for permanent solutions.
Summary Generated by Built In

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”.

Top Skills

Java
Python
The Company
Amsterdam, North Holland
65,710 Employees
On-site Workplace

What We Do

ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers

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