Lead Infrastructure Engineer – AWS Cloud Support Engineering

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

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