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The Monitoring & Observability Engineering Lead Analyst is a senior level position responsible for being an expert with a wide range of monitoring tools. The position will drive the monitoring agenda forward for the Global Consumer Bank and Wealth, driving best-in-class monitoring across all regions and applications, and incubating new capabilities and technologies.
Job Responsibility:
Drive the monitoring agenda forward for the Global Consumer Bank and Wealth
Drive best-in-class monitoring across all regions and applications
Incubate new capabilities and technologies
Drive POCs and incubate new features and capabilities
Work closely with monitoring operations teams, production support, performance test teams, operations, application owners
Explain complicated performance bottlenecks to stakeholders
Build advanced dashboards and queries
Be a subject matter expert for the Global Consumer Bank, including conducting brown bags and office hours
Recommend product customization for system integration
Identify problem causality, business impact and root causes
Advise or mentor junior team members
Impact the engineering function by influencing decisions through advice, counsel or facilitating services
Appropriately assess risk when business decisions are made
Requirements:
10+ years of relevant experience in an Engineering & IT role
5+ years of Application Development Experience (Java) at an enterprise level
4+ years of Experience with a range of architecture techstacks including Java app servers, Web Servers, Cloud (PCF, AWS, Google), Kubernetes, TIBCO, mainframe
2+ years working Splunk (or alternative log analytics tool)
2+ years working with APM (ideally AppDynamics)
Good knowledge of new Observability tools and technologies like OTEL, ELK, Metrics and logs, Grafana
Experience with synthetic monitoring tools (ideally Micro focus BSM / APM and End User Monitoring like Aternity or Omnissa or Systrak)
Ability to converse with application owners, architects, performance testers to pinpoint application performance bottlenecks
Big Data / AIOPS experience
Knowledge of R or Python and Machine Learning algorithms
Splunk administration experience
Experience working in Financial Services or a large complex and/or global environment
Experience working with diverse stakeholders
Project Management experience
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, multi-task, and take ownership of various parts of a project
Ability to work under pressure and manage to tight deadlines
Proven track record of operational process change and improvement
Bachelor's degree/University degree or equivalent experience
Master's degree preferred
Nice to have:
Big Data / AIOPS experience
Knowledge of R or Python and Machine Learning algorithms
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