Apps Support Tech Lead Analyst

• 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
• 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 through in-depth analysis and evaluation of complex business processes, systems and industry standards
• document requirements
• 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
• propose risk mitigation options
• act as advisor or coach to new or lower level analysts
• allocate work
• provide in-depth analysis with interpretive thinking to define problems and develop innovative solutions
• persuade and influence others through strong and comprehensive communication and diplomacy skills
• 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
• leverage data to develop strategic roadmaps for improving SRE practices and automation
• define and deploy key SRE metrics
• conduct research, perform chaos engineering experiments, and publish artifacts
• review and author operational procedures
• establish foundational and execution work streams for process improvement and automation initiatives
• partner with Domain, Technical architecture, and SRE teams to drive efficiency and reliability
• develop and maintain dashboards and reporting
• participate in on-call rotation and incident response

• 6-10 years experience
• practical problem solving and strategic thinking skills
• demonstrated leadership, interpersonal skills and relationship building skills
• service oriented attitude
• ability to work in a fast-paced environment
• experience working or leading requirement gathering efforts for multiple large development projects at one time
• proficient using basic technical tools and systems
• good interpersonal and communication skills
• 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
• 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

machine learning experience for predictive alerting and automated incident mitigation

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• planned time off (vacation)
• unplanned time off (sick leave)
• paid holidays
• discretionary and formulaic incentive and retention awards