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The Monitoring & Observability Engineer is a senior level position responsible for being an expert with a wide range of monitoring tools, including APM (Appdynamics), Splunk, OTEL and other tools. The position will drive the monitoring agenda forward for the Global Consumer Bank, driving best-in-class monitoring across all regions and applications, and incubating new capabilities and technologies.
Job Responsibility:
Be a monitoring and observability expert
Drive the best-in-class monitoring using a range of tools across all regions of Global Consumer bank
Drive POCs and incubate new features and capabilities
Be forward looking and ensure long term strategic success
Work closely with the monitoring operations teams, production support, performance test teams, operations, application owners and application owners to deliver best-in-class monitoring
Explain complicated performance bottlenecks to stakeholders
Understand complicated application architecture, including Java app servers, Web Servers, Cloud (PCF, AWS, Google), Kubernetes, TIBCO, mainframe
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, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
8-12 years of relevant experience in an Engineering & IT role
At least 2+ years of hands-on working experience in: Strong understanding of UI/UX principles and best practices
Proficient in JavaScript, TypeScript, HTML, CSS, React, and Node.js
Experience with backend technologies and databases (e.g., MongoDB)
Experience with Python Programming
Experience with version control systems (e.g., Git)
Strong problem-solving and analytical skills
Excellent communication and collaboration skills
Create modular and reusable React components to streamline development and maintain consistency across the application
Continuously improve existing applications, addressing bugs, and implementing new features
Good exposure to microservices/micro front end architecture
Experience with building applications on cloud platform
Experience with CI/CD tools (e.g. GitHub Actions)
Portfolio showcasing UI/UX projects
At least 2+ years of hands-on working experience in: Enterprise monitoring system (such as AppDynamics, Grafana or any APM solutions)
Automation scripting (such as Python, PowerShell, etc)
Drive the implementation and configuration of Enterprise Observability solution (AppDynamics) to meet organizational monitoring needs
Plan, design, build and manage Observability for the applications running multi-cloud environment
Perform regular updates, patches, and upgrades to observability tools to ensure they are up-to-date and secure
2+ years working Splunk (or alternative log analytics tool)
2+ years of Experience with a range of architecture techstacks including Java app servers, Web Servers, Cloud (PCF, AWS, Google), Kubernetes, TIBCO, mainframe
Ability to converse with application owners, architects, performance testers to pinpoint application performance bottlenecks via the monitoring & observability tools
Big Data / AIOPS experience is a strong plus. Including experience with the Splunk Machine Learning Toolkit
Experience working in Financial Services or a large complex and/or global environment
Experience working with diverse stakeholders, including operations, application developers and performance testing
Project Management experience
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
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 or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
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
Experience with the Splunk Machine Learning Toolkit
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