Lead SRE- Azure & GCP

Fairygodboss; Glasgow; On-site; GBP 120,000 - 170,000; Full time

Job summary

J.P. Morgan is seeking a Lead Site Reliability Engineer to join our Google Cloud SRE team within the Infrastructure Platform. You will drive reliability across global Google Cloud environments and lead DevOps practices to automate and scale services.

You will bring strong cloud expertise (Google Cloud, Azure), container tech (Docker, Kubernetes, GKE, Helm), programming (Python/Go), and a focus on observability, incident response, and AI-assisted SRE workflows to improve resilience and efficiency.

Qualifications

• Experience in SRE with Google Cloud in production environments.
• Proficient in Kubernetes, Docker and cloud-native tooling.
• Strong scripting (Python/Go) and REST API know-how.

Responsibilities

• Lead and implement SRE frameworks across global Google Cloud environments.
• Drive automation and DevOps practices to ensure elastic services.
• Provide oversight and problem resolution for engineering activities.
• Support incident triage, post-incident analysis and documentation.
• Champion AI-assisted SRE workflows with proper guardrails.

Skills

Cloud Platforms

Kubernetes

Docker

Python

Go

CI/CD

Terraform

Jenkins

Observability

AI for SRE

Tools

Prometheus

Grafana

DataDog

Splunk

Elasticsearch

GKE

Job description

We have a Lead Site Reliability Engineer (SRE) opportunity within our Google Cloud Site Reliability Engineering team.

As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platform - Cloud Foundational Services SRE organization, you will join our Google Cloud Site Reliability Engineering team operating within a global follow-the-sun support model.

Job Responsibilities:

• Lead and Implement SRE frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellence
• Mastery of application, data, infrastructure, and Agentic AI disciplines
• Keen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams to achieve common goals
• Uses enterprise-authorized AI capabilities within the work environment 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 & improve the quality of technical engineering documentation
• Provide technical supervision, oversight and problem resolution for engineering activities
• Champion a DevOps model so that services are automated and elastic across all platforms

Required qualifications, capabilities, and skills:

• Google & Azure cloud expertise in a mission critical production environment
• Strong understanding about container technologies such as Docker, Kubernetes, GKE and HELM
• Experience in programming in one of the following languages: Python, shell scripting or GO along with good understanding of REST APIs
• Hands-on experience with cloud-based technologies and tools especially in deployment, monitoring and operations, such as Google Observability, Azure Monitor, Data Dog, Prometheus, Splunk, Elasticsearch and Grafana.
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.
• Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.
• Strong understanding about the Google Cloud governance and compliance and cost management
• Strong working knowledge of modern development technologies and tools such Agile, CI/CD, Git, Infrastructure as Code, Terraform and Jenkins.
• Google Cloud certification or equivalent technical experience in the Public Cloud.
• Good understanding of Agentic AI SDKs and GitHub Copilot Skills.

Preferred qualifications, capabilities, and skills:

• Good understanding of operating systems such as Windows, Linux (Redhat / Ubuntu)
• Good understanding of LLM and other AI/ML frameworks which can be used in AIOPS

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.