IT & Software

Lead Infrastructure Engineer - AWS Cloud Support Engineering

JP Morgan Chase

Glasgow · Glasgow City · United Kingdom

Overview

In this Lead Infrastructure Engineer role, you will shape the infrastructure engineering discipline within Cloud Foundational Services, driving scalable, resilient systems for a global financial services leader. You collaborate with cross-functional teams to modernize technology processes and resolve complex issues at scale. You’ll leverage AI-assisted tooling to improve code quality and delivery, while maintaining secure and compliant operations. This role offers impact across on-call support, automation, and product-facing improvements that advance the company’s technology platform.

Responsibilities
  • Apply technical expertise to projects of moderate scope
  • Drive a workstream across multiple infrastructure technologies
  • Collaborate with other platforms to implement changes and modernization
  • Develop creative designs and solutions for moderate-complexity problems
  • Advise on upstream/downstream data and system implications and mitigation actions
  • Leverage enterprise-authorized AI coding assist tools to improve quality and speed
  • Utilize SDLC tools and AI-assisted development to enhance automation value
  • Manage stakeholder relationships within compliance and SLAs
  • Partner with engineering and product teams to close issues and drive product improvement
  • Provide follow-the-sun 24/7 on-call support via a distributed time-zone-spread team
Key requirements
  • Formal training or certification on infrastructure engineering concepts
  • Deep knowledge in areas such as hardware, networking, databases, storage, deployment, automation, scaling, resilience, or performance assessments
  • Strong experience with AWS core services (compute, storage, networking, monitoring, database technologies) in production
  • Deep knowledge of cloud infrastructure and multi-cloud capabilities
  • Familiarity with scripting languages (e.g., Python) and cloud certifications
  • Hands-on experience with AI-assisted software development tools and ability to evaluate AI outputs
  • Understanding of responsible AI use, data sensitivity, and security/resiliency expectations
  • Experience in large distributed systems across compute, databases, messaging, observability, and telemetry
  • Knowledge of incident, change, and problem management processes
  • Understanding of data-driven decision making
  • Familiarity with large-scale cloud migration or modernization initiatives
  • Exposure to observability and telemetry tooling in complex environments
  • Preferred: Kubernetes, Azure, GCP, or Terraform certifications
  • Experience with follow-the-sun on-call support
  • Ability to learn and teach in feature-rich product environments
  • Strong collaboration and stakeholder management
  • Continuous learning and knowledge sharing
  • Analytical thinking and problem solving under pressure
  • AWS core services (compute, storage, networking, RDS, DynamoDB, Aurora)
  • Cloud infrastructure across public/private clouds
  • Scripting with Python

Reference: WJ-747_30160546

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