JPMorgan Chase & Co.
Lead SRE- Azure & GCP
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Lead SRE- Azure & GCP
Lead Site Reliability Engineer (SRE)
Join our Google Cloud Site Reliability Engineering (SRE) team at JPMorgan Chase, operating within a global follow-the-sun support model as part of the Infrastructure Platform - Cloud Foundational Services organization.
About the Role
As a Lead SRE, you will:
- Directly contribute to achieving operational excellence in Google Cloud environments
- Ensure adherence to Service Level Objectives (SLOs) through adherence to SRE best practices
- Lead financial control and budget management, collaborating with colleagues across the firm
Key Responsibilities
- Lead and implement SRE frameworks to enhance global Google Cloud environments, ensuring reliability and high operational excellence
- Maintain mastery of application, data, infrastructure, and Agentic AI disciplines
- Employ enterprise-authorized AI tools to accelerate:
- Major-incident triage
- Troubleshooting
- Post-incident analysis
- Validate AI outputs while ensuring adherence to security and data sensitivity requirements
- Support development of technical engineering documentation to improve quality
- Provide technical supervision, oversight, and problem-resolution for engineering activities
- Champion a DevOps model to ensure services are automated and elastic across all platforms
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Required Qualifications & Skills
Cloud & Technical Expertise
- Extensive experience with Google Cloud and Azure in mission-critical production environments
- Deep understanding of container technologies:
- Docker
- Kubernetes, GKE
- Helm
- Programming expertise in at least one of:
- Python
- Shell scripting
- Go
- Strong familiarity with REST APIs
- Hands-on experience with cloud-based tools for:
- Deployment
- Monitoring
- Operations, including:
- Google Observability
- Azure Monitor
- Datadog
- Prometheus
- Splunk
- Elasticsearch
- Grafana
AI & Risk Management
- Demonstrated ability to leverage enterprise-authorized AI tools in operational workflows (e.g., incident investigations, knowledge capture), with strong validation practices
- Experience evaluating AI-assisted recommendations for correctness, risk, and alignment with resiliency and security standards
- Ability to set guardrails for AI usage, ensuring outputs adhere to security and operational requirements
Governance & Financial Acumen
- Strong understanding of Google Cloud governance, compliance, and cost management
DevOps & Modern Tools
- Proficiency in:
- Agile methodologies
- CI/CD pipelines
- Git
- Infrastructure as Code (IaC)
- Terraform
- Jenkins
- Google Cloud certification or equivalent full-stack public cloud experience
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AI/ML & Emerging Tech
- Good understanding of Agentic AI SDKs and GitHub Copilot
Preferred Qualifications & Skills
- Deep knowledge of operating systems:
- Windows
- Linux (RedHat / Ubuntu)
- Understanding of LLMs and AI/ML frameworks applicable to AIOps
About J.P. Morgan
J.P. Morgan is a global leader in financial services, delivering tailored solutions to corporations, governments, and investors. Our approach emphasises trusted, long-term partnerships to achieve client objectives, underpinned by a commitment to diversity and inclusion.
We are an equal opportunities employer, fostering a culture of fairness and accessibility. Accommodations for religious practices, mental health, and physical disability needs are available. For more details on our policies, visit FAQs.
Our Corporate Functions span finance, risk, human resources, marketing—and are integral to our success. Here, your contributions drive innovation and organisational growth.
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