Lead Infrastructure Engineer - AWS Cloud Support Engineering

JPMorganChase
Glasgow, UK
21 days ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Automation of Tests Unit Testing Microsoft Azure Cloud Computing Code Generation Software Quality Databases Decision Support Systems Distributed Systems Amazon DynamoDB
+12 more
Python (Programming Language) Software Tools Secure Coding Software Engineering Toolchain Scripting Google Cloud Cloud Platform System Kubernetes Terraform Code Restructuring Virtual Private Clouds

Job description

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., * 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

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 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

About the company

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:04 min

Introduction to Bitcoin script parsing tools

Steve Shadders · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

3:12 min

Integrating toolchains to improve engineering efficiency and culture

Amir Friedman Amir Friedman +2 · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:53 min

Evaluating traditional scripting languages for modern development tasks

Jens Knipper Jens Knipper · Europe 2026 Virtual

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

Videos

See all

Related articles

See all