Senior Lead Infrastructure Engineer - Market Data - AWS / Snowflake
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Job description
accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-casesCollaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirementsCapable of finding a balance between best of breed and cost effective solutionsAct as a positive team player who is capable of accepting different intellectual points of viewClear and concise communicator; ability to present to senior managementAbility to analyze and articulate problems and provide input into solutionsProvide 3rd level support to operational rolesA respect for strong process and control management disciplinesLeads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring
Requirements
changes are validated, traceable and auditable, and aligned to resiliency and security expectations, Required qualifications, capabilities, and skillsFormal training or certification on infrastructure engineering concepts and advanced applied experience in Cloud technologies including Kubernetes, Terraform and AWSData Lake technologies (e.g. Snowflake, Databricks, AWS Glue/Athena, Lake Formation)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 expectationsNetwork architecture and protocolsProgramming languages (e.g. Java, Python, C++)Market Data / messaging products (e.g. TREP, Vela, RedLine, Bloomberg BPIPE, Solace, AMPS, etc.)Market Data vendors and their
About the company
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 Lead Engineer at JPMorgan Chase within our Market Data Services team you will play a pivotal role in designing, delivering and maintaining critical data distribution systems within the firm. These systems encompass both on-premises and cloud based infrastructure to deliver third party data to multiple lines of business. You will be working within an Agile project environment collaborating closely with cross-functional teams to deliver high-quality solutions to our clients.Job ResponsibilitiesApplies 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 actionsUses enterprise-authorized AI capabilities within the work environment to, key products (e.g. Bloomberg, LSEG, Factset, S&P)Database technologies and SQL scriptingMonitoring tools (ITRS Geneos, Dynatrace, Datadog) 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.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or
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