Level

ING

DevOps Engineer

AI in this role

Job Overview

The Observability Engineering & Operations Squad will be operating the integration to MDPL solution & supporting Observability for the local assets of ING Germany.

There will be 3 focus areas:

- SRE

- Infrastructure

- Application support

Key Responsibilities

Coding & Platform Delivery

- Implement Dashboards and standards

- Do peer reviews

- Accelerate timelines while balancing quality and simplicity

- Execute and improve on controls and coding practice via for example automation or trying different methods to improve

- Ensure alignment to Architectural roadmaps and strategies

Support

- Implement reliable systems

- Timely resolution of incidents and problems

- Root cause analysis and remediation

- Manage technical debt

- Communication of changes

Leadership

- Help other developers

- Share knowledge on codebase

- Ensure compliance with ING standards

- Take ownership of assigned responsibilities

Key Capabilities/Experience

- Demonstrated experience:

  • In delivering mission critical systems
  • OpenTelemetry & Grafana stack
  • To design and implement public/private cloud
  • In mentoring other developers In an agile development lifecycle 
  • In the public and private cloud concepts especially compute, network, storage and data In cloud native application architectures and micro-services

- Be able to communicate effectively – verbal and written

- Ability to operate at own initiative with a pro-active attitude, within the directions and confines of management and bank policy

- Ability to liaise with a broad range of people, including line management, senior management, external suppliers and related people.

- Strong problem solving ability and strong analytical skills

How we score this

DevOps Engineer at ING scores 26 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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