Lead Infrastructure Engineer - Market Data & Automation

JPMorgan Chase & Co.

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in London is seeking a Lead Infrastructure Engineer within the Market Data team.

You will apply deep expertise in software, applications, and infrastructure to support critical market data platforms across the firm's trading businesses. The role requires a shift pattern to cover core trading hours with some weekend work; you will own issues end-to-end, drive automation, and validate AI-assisted recommendations while ensuring resiliency and security.

Qualifications

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.
Deep knowledge of one specific infrastructure technology and scripting languages.
Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds.
In-depth knowledge and hands-on experience of market data technologies used by trading applications, including LSEG RMDS, DACS, Bloomberg BPIPE, MFA, Solace, Metafluent, ITRS Geneos.

Responsibilities

Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes 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.
Uses 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.
Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes.
Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions.
Applies 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.