Lead Infrastructure Engineer Mainframe MQ

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Infrastructure Engineer at JPMorganChase within Corporate Sector Enterproise Technology you are part of an agile team that works to enhance design and deliver the software components to the firms state-of-the-art technology products in a secure stable and scalable will help engineer and run IBM MQ on z/OSwithin the IBM Z ecosystem drive automation and advanceAIOps/operational analyticsto improve stability resiliency and recovery. We value anAI mindsetandcuriositybringing an automation-first approach continuously learning and applying AI responsibly to reduce toil and improve outcomes.

Job Responsibilities

• Provideglobal on-call supportas part of a shared rotation; lead structured incident/problem resolution and continuous improvements.
• Design develop and deploy changeswhile following firm processes for change management issue resolution design governance andJIRA.
• Engineer secure and optimizeIBM MQ on z/OS(queue managers queues channels clusters QSG logging HA across LPARs/sysplex); assess upstream/downstream impacts and mitigation actions.
• Provide MQ administration support to multiple applications; enableload balancing/failovervia clustering and queue sharing groups.
• Build and integratetelemetryfrom MQ and platform sources (e.g. queue depth put/get rates channel states DLQ events plus SMF/RMF and logs) into enterprise observability/SRE workflows.
• DeliverAIOps and automation: anomaly detection capacity forecasting intelligent alerting/noise reduction and codified runbooks for repeatable operations and remediation.
• Demonstrate anAI mindset and curiosityby identifying opportunities to improve operational workflows modernize runbooks and safely experiment with automation/analytics to prevent incidents and reduce MTTR.
• Use modern IBM Z capabilities where appropriate:z/OSMF workflows & REST APIs monitoring ( equivalent)Common Data Provider/SMF streamingz/OS Connect EE andUSS-based (Python/REXX) automation.
• Supportcryptography inventory and PQC readinessenhancements for MQ/z/OS flows (TLS configurations cipher/key usage dependencies key rotation/exception tracking) and integrate measurable coverage into operational reporting.
• Producerunbooks architecture documentation and audit-ready evidence; partner with cybersecurity risk/control SRE and platform owners; align with Responsible AI and model risk expectations where ML is used.

Required Qualifications Capabilities and Skills

• Formal training/certification in Infrastructure Engineering concepts and5 yearsapplied experience (or equivalent).
• Strong experience onIBM zSeries / IBM Zwithz/OS fundamentals(e.g. sysplex concepts WLM JES2/3 USS SAF/RACF SMF dataset management).
• Understanding of MQ concepts:queue managers queues channels and MQ object administration.
• Understanding ofRACF/ACF2 security least privilege and secure change practices.
• Strong critical thinking problem-solving and communication skills; ability to collaborate across roles and teams.
• Demonstratedcuriosity continuous learning and comfort working across infrastructure automation and analytics domains.

Preferred Qualifications Skills and Capabilities:

• MQ systems programming depth: installation/maintenance/implementation on z/OS clusters/QSG tuning usingSMFrecords and monitoring data.
• Data/AI engineering for ops telemetry:Python time-series/log shaping schema governance; streaming/batch pipelines using firm-approved platforms ( Spark enterprise observability).
• Automation:REXX CLIST JCL Ansible z/OSMF/Zowe workflows; CI/CD and controlled release in regulated environments.
• Familiarity withCICS DB2 IMS and cross-platform MQ integrations.
• Experience productionizing ML (lifecycle monitoring/drift explainability rollback) and applyingResponsible AIprinciples.
• IBM MQ on z/OS experience preferred but not mandatory if you bring strong adjacent experience (IBM Systems messaging observability/AIOps automation) and willingness to learn MQ rapidly.