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**Lead Infrastructure Engineer - AWS Cloud Support (Glasgow, UK)** Drive AWS cloud infrastructure excellence in a top-tier global company. Lead projects, troubleshoot complex issues, and collaborate cross-functionally. Key responsibilities include: - Apply technical expertise to projects - Drive workstreams using AWS services (compute, storage, networking, databases) - Work with other platforms for architectural changes and modernization - Use AI-assisted tools for coding, testing, and troubleshooting (e.g. Python, AI coding assist tools) Required qualifications: - Advanced infrastructure engineering experience - Deep AWS knowledge with hands-on AWS service experience - Familiarity with scripting languages and cloud platform certifications - Understanding of incident, change, and problem management processes Preferred qualifications: - Certifications in Azure, Google Cloud Platform, or Terraform - Experience in global on-call support models - Familiarity with cloud migration or modernization initiatives - Knowledge of observability and telemetry tools

Compensation: Not specified GBP
City: Not specified
Country: United Kingdom

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Location: GLASGOW, LANARKSHIRE, United Kingdom

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. This cloud support role will be instrumental in shaping the future at one of the world's largest and most influential companies where your expertise drives real impact at scale.

As a Lead Infrastructure Engineer at JPMorganChase within Cloud Foundational Services, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. You will continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities

Apply technical expertise and problem-solving methodologies to projects of moderate scope

Drive a workstream or project consisting of one or more infrastructure engineering technologies

Work with other platforms to architect and implement changes required to resolve issues and modernize the organization and its technology processes

Execute creative solutions for the design, development, and technical troubleshooting for problems of moderate complexity

Strongly consider upstream/downstream data and systems or technical implications and advise on mitigation actions

Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Manage stakeholder relationships and the team's work in accordance with compliance standards, service level agreements, and product supportability requirements

Partner with engineering and product teams to ensure remediation and permanent closure of issues and to identify trending issues to drive product improvement

Demonstrate a high aptitude for both learning and teaching as product teams continually release new features and products

Provide follow-the-sun 24/7 on-call support through a distributed team spanning multiple time zones

Required qualifications, capabilities, and skills

Formal training or certification on infrastructure engineering concepts and advanced applied experience

Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments

Strong experience supporting and operating workloads within Amazon Web Services (AWS), including hands-on knowledge of core services such as compute, storage, networking, monitoring, and database technologies (e.g., RDS, DynamoDB, or Aurora) in a production environment

Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds

Familiarity with scripting languages (e.g., Python) and cloud platform certification(s)

Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Familiarity with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry

Knowledge of incident, change, and problem management processes and the controls that govern them

Understanding of data-driven decision making and a drive to continue developing technical and cross-functional knowledge

Preferred qualifications, capabilities, and skills

Kubernetes, Azure, Google Cloud Platform, or Terraform certifications

Experience working in a follow-the-sun or globally distributed on-call support model

Familiarity with large-scale cloud migration or modernization initiatives

Exposure to observability and telemetry tooling in complex distributed environments

Join our Cloud Reliability Services team as a Cloud Technical Solutions Engineer and make a global impact.

Full Job Description