Remote Senior SRE: AI-Driven Automation & Reliability

Y-Axis

Utrecht

Hybrid

EUR 120,000 - 150,000

Full time

4 days ago
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Job summary

LinkedIn is seeking a Senior Site Reliability Engineer to own the reliability of critical services across the Azure environment. This full-time role emphasizes SLOs, error budgets, and scalable incident response.

You will identify toil, automate repetitive tasks with Python and Terraform, and drive improvements in observability, CI/CD, canary deployments, and postmortems. Collaboration with product and engineering teams is essential to bake SRE principles into new solutions from design through

Qualifications

  • Experience defining and managing SLOs and error budgets.
  • Strong incident response and postmortem leadership.
  • Proficient in building reliable, observable systems.

Responsibilities

  • Define and manage SLOs and error budgets for critical services across the Azure environment
  • Identify operational toil and replace repetitive manual work with automation and self-healing solutions
  • Improve and standardise observability, including metrics, alerting and tracing
  • Lead complex production incidents and facilitate blameless postmortems
  • Translate lessons from incidents into structural improvements and automation
  • Improve CI/CD and progressive delivery through safe deployments, canary releases and automated rollback
  • Manage capacity, performance and infrastructure cost forecasting across the platform
  • Build reliability automation using technologies such as Python and Terraform
  • Introduce AI agents and bounded automation into detection, diagnosis and remediation
  • Work proactively with product and engineering teams to incorporate SRE principles into new solutions from the design stage

Skills

SLOs
Error budgets
Observability
Incident management
Automation
CI/CD
Canary deployments
Terraform
Python
AI agents

Tools

Terraform
Python

Job description

LinkedIn is seeking a Senior Site Reliability Engineer to own the reliability of critical services across the Azure environment. This full-time role emphasizes SLOs, error budgets, and scalable incident response.

You will identify toil, automate repetitive tasks with Python and Terraform, and drive improvements in observability, CI/CD, canary deployments, and postmortems. Collaboration with product and engineering teams is essential to bake SRE principles into new solutions from design through

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