Chase is the U.S. consumer and commercial banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.3 trillion and operations in more than 60 countries We serve more than 50 million consumers and small businesses through more than 5,600 bank branches, 18,700 ATMs, credit cards, mortgage offices and online and mobile banking as well as through relationships with auto dealerships.
The role is responsible for providing Monitoring and Engineering for Merchant Services applications and work on correlation for events spanning network, hosts, application, logs and authorizations.
Automation – Leading and driving the identification and implementation of automation opportunities across the application and infrastructure environment
Monitoring - drive monitoring operations visibility through tools such as Geneos, Splunk, Dynatrace and Ansible. Work closely with the L2/L1/AD teams to improve thresholds and alerting of critical flows. Assist with Root Cause Analysis (RCA). Identify monitoring gaps and implement solutions, by leveraging the best monitoring tool(s) to address the specific gap. Expert experience at application alert fine tuning to prevent issues related to incidents.
Cloud adoption readiness – Partner with the Merchant Services SRE team as refinement of the deployment journey is conducted. Partner with AD and infrastructure teams to ensure Merchant Services applications provide an excellent customer experience while they prepare to migrate to Helix.
DevOps – providing an holistic view of the technical environment end-to-end, reaching across functional borders to increase collaboration and effectiveness
Continuous Integration – Direct Operate/AD teams as they leverage version control to deploy alerting refinement in swift, secure, continuous integration model.
Application Optimization - Refine application specific alerting to pro-actively alert on predictive indicators for performance issues.
Resiliency – Partner with Operate Teams, AD and PM teams to identify single points of failure which should be monitored with a heightened sensitivity and proactively Auto-ticket on issues which could turn customer impacting if not resolved.
Delivery –participate in architectural design reviews to ensure Production monitoring considerations are understood and have equal priority in stories and definition of done.
5+ years of Application Development and Production Management work experience in the Finance industry, throughout the entire project lifecycle.
Experience leveraging Geneos, Splunk and other monitoring tools with an analytical mindset to drive identification of patterns/trends which would predict problematic situations.
Strong understanding of scripting/programming industry practices, to automate any repeatable tasks and provide alerting.
Expert communication skills, both verbal and written, with the ability to clearly convey technical information while lead large conference calls.
Strong interpersonal skill that foster collaboration while being able to leverage social skills to influence the conversation direction.
Advanced technical experience with an advanced understanding of industry standards. Ability to leverage broad depth of knowledge steer planning and design conversations.
Domain expert in Linux, Windows, Application and Infrastructure logs.
Production experience with SQL, Python and Shell scripting, proficient with the use of regex.
Proven experience in Problem Management, Change Management best practices.
Proven experience in EPV Account Management and Break-Glass procedures.
Capable to execute and deliver on a multitude of concurrent initiatives in a dynamic environment
Ability to work independently as a self-starter, and within a team environment. Comfortable in a fast dynamic environment with an ability to handle multiple tasks simultaneously.
Working knowledge of Microsoft products, including Outlook, Word, Excel, and PowerPoint.
Banking and/or financial services industry experience would be a plus
Tech skills: python scripting, Windows/linux, networks (DNS, MPLS, VPN etc..), SQL, Splunk and emerging technologies with data analytics for event correlation.