Lead Infrastructure Engineer AWS Cloud Support

Hackajob Ltd; Glasgow; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

JPMorganChase, in partnership with hackajob, seeks a Lead Infrastructure Engineer for Cloud Foundational Services. You will shape enterprise-scale infrastructure across AWS, Azure, and private clouds, and drive modernization while supporting a global, distributed team.

Join a high-performing group delivering performance excellence at scale, provide follow-the-sun on-call coverage, and apply responsible AI practices to engineering workflows with strict security and resiliency standards.

Qualifications

• Formal training or certification on infrastructure engineering concepts.
• Deep knowledge across infrastructure areas including hardware, networking, databases, storage, deployment, automation, scaling, resilience, or performance assessments.
• Hands-on AWS experience with core services in production (compute, storage, networking, monitoring, database tech).
• Cloud infrastructure knowledge across public/private clouds with cross-cloud migration capability.
• Scripting skills (Python) and cloud platform certifications.
• Experience using AI-assisted software development tools with validation of outputs.
• Understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling.
• Familiarity with large distributed systems across compute, databases, messaging, observability.
• Knowledge of incident, change, and problem management processes.
• Data-driven decision making and ongoing learning.
• Preferred: Kubernetes, Azure, Google Cloud Platform, or Terraform certifications.
• Preferred: experience in follow-the-sun/on-call model.
• Preferred: familiarity with large-scale cloud migration or modernization initiatives.
• Preferred: exposure to observability and telemetry tooling in complex distributed environments.

Responsibilities

• Apply technical expertise to projects of moderate scope.
• Drive a workstream or project spanning infrastructure technologies.
• Collaborate with other platforms to architect and implement changes for modernization.
• Execute creative solutions for design, development, and troubleshooting of moderate complexity.
• Consider upstream/downstream data implications and advise mitigations.
• Leverage AI coding assist tools to improve code quality and delivery speed, with peer review.
• Apply SDLC tools including AI-assisted development to enhance automation value.
• Manage stakeholder relationships and ensure compliance with standards.
• Partner with engineering and product teams to close issues and drive product improvements.
• Demonstrate learning and teaching aptitude as features are released.
• Provide follow-the-sun 24/7 on-call support across time zones.

Skills

AWS

Python

Kubernetes

Terraform

Cloud architecture

Incident management

On-call support

AI-assisted tools

Security/compliance

Distributed systems

Tools

Terraform

Job description

Salary: £100,000 - 100,000 per year

Requirements:

• 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: Kubernetes, Azure, Google Cloud Platform, or Terraform certifications
• Preferred: Experience working in a follow-the-sun or globally distributed on-call support model
• Preferred: Familiarity with large-scale cloud migration or modernization initiatives
• Preferred: Exposure to observability and telemetry tooling in complex distributed environments

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 our organization and 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
• Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity, while validating outputs through peer review, automated testing, and secure coding standards
• Apply 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 teams 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

Technologies:

• AI
• AWS
• Architect
• Azure
• Cloud
• Hardware
• Support
• Kubernetes
• Marketing
• Python
• Security
• Terraform
• Web

More:

We are JPMorganChase, partnering with hackajob to hire a Lead Infrastructure Engineer within Cloud Foundational Services. This cloud support role is part of a high-performing team delivering infrastructure and performance excellence at scale. We are a global leader in financial services, providing strategic advice and products to some of the worlds most prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach drives everything we do, and we value diversity, inclusion, and trusted long-term partnerships. Our Corporate Functions team spans finance, risk, human resources, and marketing, helping set our businesses, clients, customers, and employees up for success.

last updated 40 week of 2026