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ING

DevOps - Observability Engineer

ING is hiring a DevOps - Observability Engineer. Level rates it ; you can apply on ING.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level lists 656 other open roles at ING.

AI in this role

The Job

The GWAN & Network Services Squad is responsible for delivering the base network monitoring and observability infrastructure, consumed by other teams to build their network monitoring. You are also the subject matter expert on the network observability stack’s new features and help with new implementations. The position is a DevOps role and requires building and working with containers, infrastructure as code, automation with Ansible, knowledge on the ELK stack or Prometheus, Telegraf & Grafana.


You will innovate and participate in agile work processes such as stand-ups, sprint reviews, and planning. Together with the Product Owner, the team (Squad) works on common goals and a shared backlog. You will take care of all reporting and guide the squad in the right direction to improve the services and satisfaction. You are not shy in supporting the other squads within the area and our tribe. You feel comfortable in a role as a trusted advisor. We use video and collaboration tools to facilitate the communication process.


Competencies – Skills

  • Have hands-on experience with observability and monitoring platforms (e.g. Prometheus, Grafana, Telegraf, Elasticsearch, Logstash & Kibana)
  • Have experience with scripting and automation using Python, Ansible and/or Bash
  • Have working knowledge of Linux operating systems and basic system administration
  • Understand networking fundamentals (e.g. TCP/IP, DNS, routing and switching)
  • Have experience troubleshooting monitoring and observability issues in enterprise environments
  • Have familiarity with automation and configuration management tools (e.g. Ansible)

You'll get extra points for:

  • Experience with container platforms and technologies (e.g. Docker, Kubernetes)
  • Knowledge of Cisco networking environments
  • Familiarity with Infrastructure as Code concepts and CI/CD practices
  • Experience working in large enterprise or complex infrastructure environments
  • Ability to identify problems, analyse key information and make connections to find appropriate solutions

Competencies - Behaviors

  • Have ability to clearly and succinctly express ideas, facts and opinions
  • Can adapt to new situations and alter behaviours to work effectively
  • Can complete tasks and achieve results in an efficient, timely and high-quality manner
  • Demonstrate a proactive and collaborative approach when working within cross-functional teams

Your education and background

  • Professional and intellectual IT ability at least a bachelor’s degree
  • Certifications or proven proficiency in Networking, CI/CD or NetDevOps
  • Certifications or proven proficiency in one or more programming/scripting languages
  • Excellent command of spoken and written English


Rewards and benefits
We want to make sure that it’s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.


The benefits of working with us at ING include:

  • 25-28 vacation days depending on contract
  • Pension scheme
  • 13th month salary
  • 8% Holiday payment
  • Hybrid working
  • Personal growth and challenging work with endless possibilities
  • An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward?

Discover what we do and what we can offer you.


Questions?
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button.

How we rate this

DevOps - Observability Engineer at ING rates 38 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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