Lead SRE: Azure & GCP with AI-Driven Ops

Hackajob Ltd

Glasgow

On-site

GBP 90,000 - 110,000

Full time

2 days ago
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Job summary

JPMorganChase is seeking a Lead Site Reliability Engineer to oversee global Google Cloud environments and drive SRE excellence.

You will apply mastery of application, data, and infrastructure disciplines, using enterprise AI to accelerate incident response while upholding security and sensitivity requirements. This role supports a follow-the-sun model and cross-functional collaboration.

Qualifications

  • Expertise in Google/Azure cloud in production environments.
  • Strong container tech: Docker, Kubernetes, Helm, GKE.
  • Programming in Python, Shell, or Go; REST APIs knowledge.
  • Hands-on with monitoring/ops tools: Datadog, Prometheus, Grafana, etc.
  • Experience applying enterprise AI capabilities to SRE workflows with validation.
  • Ability to set guardrails for AI-assisted operations and ensure security.
  • Knowledge of Google Cloud governance and cost management.
  • Experience with Agile, CI/CD, IaC (Terraform), Git.
  • Google Cloud certification or equivalent experience.
  • Familiar with Windows and Linux (Red Hat/Ubuntu).
  • Familiar with AI/ML frameworks for AIOps.

Responsibilities

  • Lead and implement SRE frameworks for Google Cloud environments.
  • Maintain high SLOs through operational excellence.
  • SRE governance of AI-assisted triage and post-incident analysis.
  • Develop and improve engineering documentation.
  • Provide technical supervision and problem resolution.
  • Champion DevOps model for automation across platforms.
  • Collaborate with teams across the firm to achieve goals.

Skills

Google Cloud
Azure
Kubernetes
Docker
Python
CI/CD
Terraform
Jenkins
Git
Observability
LLM/AI

Tools

GKE
Helm
Prometheus
Grafana
Datadog
Splunk
Elasticsearch
Agentic AI SDKs
GitHub Copilot

Job description

JPMorganChase is seeking a Lead Site Reliability Engineer to oversee global Google Cloud environments and drive SRE excellence.

You will apply mastery of application, data, and infrastructure disciplines, using enterprise AI to accelerate incident response while upholding security and sensitivity requirements. This role supports a follow-the-sun model and cross-functional collaboration.

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