Senior Lead Infrastructure Engineer, Market Data Services

Job Description :

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.

As a Senior Lead Infrastructure Engineer at JPMorgan Chase within the Commercial and Investment Banking (CIB) Markets Technology - Market Data Services team, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.

Job Responsibilities

• Apply deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions
• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Collaborate with product owners and stakeholders to ensure cost effective data solutions (realtime, historical and AI/ML use case) comply to compliance standards, risk and security, and business objectives.
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes.
• A positive and collaborative team-player who embraces diverse viewpoints, analyzes and articulates problems, provides and presents effective solutions to senior stakeholders
• Drives results and implements multiple complex programs
• Drives thought tech leadership within the product line
• Responsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectives
• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations.
• Provide 3rd level support to production management team.

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
• Bachelor's degree in Computer Science or equivalent
• 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.
• Strong knowledge of network architecture and protocols, Market data streaming, and messaging products (e.g. market data industry vendors products like Bloomberg Bpipe, LSEG Elektron, Solace, AMPS, Redline, etc).
• Formal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWS
• Experience in using Data Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation)
• Adept in specific infrastructure technology and programming languages (e.g. Python, Java, C++, SQL scripting)
• Proficient with Monitoring tools (ITRS Geneos, Dynatrace, Datadog)

• Possess deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)