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# Sr Lead Infrastructure Engineer- Devops/AWS

- **Company:** JPMorganChase
- **Location:** Glasgow, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Release Automation, Cloud Engineering, Continuous Integration, DevOps, Python (Programming Language), Key Management, Reliability Engineering, Azure Machine Learning, Software Engineering, Datadog, Data Logging, Scripting, Large Language Models, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Terraform
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=855bfacccef369cf

## About the Role

* Formal training or certification on software engineering or systems concepts and applied experience
 * Advanced proficiency with infrastructure-as-code (e.g., Terraform) and scripting in Python and/or shell
 * Deep hands-on experience with CI/CD tooling and building release automation at scale
 * Strong experience with Kubernetes, containerisation, and cloud-native operations
 * Proven experience running production services: observability, on-call, incident response, and reliability engineering
 * Understanding of production security and change-management controls
 * Strong communication skills and the ability to set operational standards across a team
 * Formal SRE experience in a regulated or high-availability environment
 * Master's degree in Computer Science, Engineering, or a related technical field (or equivalent applied experience), * Experience operating ML / LLM workloads in production (MLOps, inference reliability, cost/performance management)
 * Experience within financial services technology
 * Familiarity with JPM-internal platform, cloud, and observability tooling for internal candidates

## Description

This is a Vice President-level role and an integral part of the IPB Tech AIML team, reporting to the Head of AI, IPB Tech., * Owns and evolves the team's CI/CD pipelines, release automation, and deployment tooling

 * Establishes reliability practices (SLOs, error budgets, runbooks) and leads production incident response and post-incident review
 * Builds and operates observability across the team's AI/ML services (metrics, logging, tracing, alerting)
 * Automates infrastructure provisioning and configuration through infrastructure-as-code
 * Implements operational security, secrets management, and access controls to firm-wide standards
 * Partners with platform, data, and AI engineers to harden services for production and reduce dependency on external functions
 * Mentors junior engineers on DevOps and reliability practices and sets standards through review
 * Champions the firm's culture of diversity, Opportunity, inclusion, and respect


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