Lead Infrastructure Engineer - Market Data Services

About This Role

Leading a high-performing team that delivers infrastructure and performance excellence is the core of this role, shaping the future at one of the world's largest financial companies. As a Lead Infrastructure Engineer within the Market Data team, you will apply deep knowledge of software, applications, and technical processes within infrastructure engineering, continuously evolving your technical and cross-functional expertise. The team supports, maintains, and enhances critical market data platforms for multiple lines of business across the firm, requiring an experienced individual with a proven history of supporting trading businesses and their market data needs in a production environment.

Responsibilities

• Apply technical expertise and problem-solving methodologies to projects of moderate scope and execute creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
• Provide production support for critical market data platforms, ensuring stability, performance, and availability
• Implement production changes and deliver timely resolution to production issues, including clear root-cause ownership and follow-through
• Develop tools and automation to improve production support processes, monitoring, and overall stability of the market data infrastructure
• Use enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements
• Drive a workstream or project consisting of one or more infrastructure engineering technologies and work with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
• Strongly consider upstream and downstream data and systems or technical implications and advise on mitigation actions
• Apply reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations

Requirements

• Formal training or certification on infrastructure engineering concepts and advanced applied experience in TREP / DACS
• 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
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations