Lead SRE - Azure & GCP

Salary: £62,000 - 102,000 per year

Requirements:

• Google and Azure cloud expertise in a mission-critical production environment
• Strong understanding of container technologies such as Docker, Kubernetes, GKE, and Helm
• Experience programming in Python, shell scripting, or Go, with a good understanding of REST APIs
• Hands-on experience with cloud-based technologies and tools for deployment, monitoring, and operations, including Google Observability, Azure Monitor, DataDog, Prometheus, Splunk, Elasticsearch, and Grafana
• Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows, with strong validation habits and awareness of data sensitivity
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define guardrails for team usage, and ensure outcomes align with resiliency and security expectations
• Strong understanding of Google Cloud governance, compliance, and cost management
• Strong working knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Infrastructure as Code, Terraform, and Jenkins
• Google Cloud certification or equivalent technical experience in public cloud
• Good understanding of Agentic AI SDKs and GitHub Copilot skills
• Good understanding of operating systems such as Windows and Linux (Red Hat / Ubuntu)
• Good understanding of LLM and other AI/ML frameworks used in AIOps

Responsibilities:

• Lead and implement SRE frameworks to support global Google Cloud environments and ensure the highest level of SLOs through operational excellence
• Apply mastery of application, data, infrastructure, and Agentic AI disciplines
• Use enterprise-authorized AI capabilities to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements
• Provide support to develop and improve the quality of technical engineering documentation
• Provide technical supervision, oversight, and problem resolution for engineering activities
• Champion a DevOps model so services are automated and elastic across all platforms
• Work in partnership with colleagues across the firm and lead collaborative teams to achieve common goals
• Support financial control and budget management

Technologies:

• Agentic AI
• AI
• Azure
• CI/CD
• Cloud
• Copilot
• Datadog
• DevOps
• Docker
• ElasticSearch
• Git
• GitHub
• Grafana
• Helm
• Support
• Jenkins
• Kubernetes
• LLM
• Linux
• Marketing
• Prometheus
• Python
• REST
• Security
• Splunk
• Terraform
• Ubuntu
• Windows

More:

We are JPMorgan Chase, and this Lead Site Reliability Engineer opportunity sits within our Google Cloud Site Reliability Engineering team in the Infrastructure Platform - Cloud Foundational Services SRE organization. We operate in a global follow-the-sun support model and offer the chance to work across cloud, infrastructure, and SRE disciplines in a mission-critical environment. We are a global leader in financial services, committed to trusted long-term partnerships, diversity and inclusion, and reasonable accommodations where needed. Our corporate functions span finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success. This is a full-time role.

last updated 34 week of 2026