Apps Sup Tech Lead Analyst, Citi

Citi

Location:
United States, Irving

Category:
IT - Administration

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

The Apps Sup Tech Lead Analyst is responsible for guiding technical teams, ensuring system integration, and analyzing data to improve system performance and reliability. The individual will work closely with multiple stakeholders to identify and resolve challenges while deploying advanced SRE principles.

Job Responsibility:

Partner with multiple technology teams to ensure appropriate integration of functions to meet goals
Identify and define necessary system enhancements
Analyze existing system logic, identify problems, and recommend and implement solutions
Provide expertise in area and an advanced level of understanding of the principles of apps support
Formulate and define systems scope and objectives for complex, high-impact application enhancements and problem resolution
Document requirements
Partner with multiple technology areas and management teams to ensure appropriate integration of functions to meet goals
Work closely with Product Owners, Business Analysts and Systems Analysts to determine and document Systems impacts and support requirements
Identify risks, vulnerabilities and security issues, communicate impact, and propose risk mitigation options
Mine and analyze large sets of data related to system performance, availability, and reliability
Identify gaps and opportunities for improvement in system reliability and performance using data-driven insights
Develop strategic roadmaps for improving SRE practices and automation
Define and deploy key SRE metrics for measuring process improvement and system reliability
Conduct research, perform chaos engineering experiments, and publish artifacts to drive simplification and automation of SRE processes

Requirements:

5-7 years of Data Analysis, or relevant experience, with at least 2 years as a Data Scientist, preferably with a focus on SRE or related fields
Strong understanding of SRE Fundamentals: Service Levels Concepts (SLI, SLO, SLA, Error Budget), Toil reduction, Automation, Observability primers, Chaos Engineering, and Production Management
Solid understanding of Observability Fundamentals: Golden Signals, Service Mapping, Business Transactions, Metrics-Logs correlations, Forecasting, and Trend analysis
Knowledge and experience of a variety of exploratory data analysis, predictive modelling, anomaly detection techniques, and their real-world advantages/drawbacks, particularly in the context of SRE
Experience using statistical computer languages like Python or Java, and familiarity with Go, Rust, Perl, Javascript, and Typescript
Working knowledge of financial products, automation solutions, and SRE principles
Experience with Linux, Docker, Kubernetes, Observability stacks (e.g., Grafana, ELK), Middleware (Kafka), and databases (Oracle)
Machine learning experience for predictive alerting and automated incident mitigation is a plus
Experience in predictive model a/b testing and training models for SRE use cases
Experience in complex data extraction techniques and data cleansing methodologies, especially from monitoring and logging systems
Ability to deconstruct descriptive data into meaningful categories for predictive modeling and visual analysis related to system reliability
Bachelor’s/University degree, Master’s degree preferred

Nice to have:

Machine learning experience for predictive alerting and automated incident mitigation
Experience in predictive model a/b testing and training models for SRE use cases

What we offer:

Medical, dental, and vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid vacation
Sick leave
Paid holidays

Additional Information:

Job Posted:
August 20, 2025

Expiration:
August 22, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Apps Sup Tech Lead Analyst