Site Reliability Engineer

• Participate in design reviews, sprint zero, and delivery planning to define and validate reliability requirements
• Collaborate with Major Release Management to ensure releases meet SRE standards and support-readiness requirements
• Define and improve monitoring, observability, dashboards, telemetry coverage, and alert strategy
• Assist in major incident response and root cause analysis
• Drive automation, intelligent tooling, and AI-assisted remediation
• Serve as the operational readiness authority before production releases
• Lead capacity, performance, workload trend, and resiliency analysis
• Establish and track reliability metrics including availability, incident volume, MTTx, alert quality, automation coverage, and change failure rate
• Participate in application reliability governance and service reviews
• Prepare executive reporting on reliability posture, release readiness, observability maturity, incident trends, risks, and improvement outcomes
• Promote SRE practices through mentoring, standards adoption, best-practice sharing, and approved AI tools

Requirements

• Minimum of 10+ years of related technical experience across application support engineering, software engineering, site reliability engineering, production support, or application operations
• Bachelor’s degree preferred or equivalent practical experience
• Experience supporting business-critical applications in production environments
• SRE, observability, automation, or ITIL certifications are a plus
• Proven experience in one or more in-scope roles including Application Support Engineer, SDET, Software Engineer, or SRE
• Strong understanding of monitoring and observability platforms, including dashboard design, alert tuning, telemetry coverage, log analysis, metrics, traces, and event correlation
• Programming or scripting proficiency in one or more languages such as Python, Java, Go, PowerShell, or similar
• Familiarity with distributed applications, middleware, messaging, batch processing, real-time processing, and production application behavior in high-availability environments
• Experience in financial services, capital markets, regulated environments, or other high-availability operational settings
• Demonstrated participation in disaster recovery, performance testing, resiliency testing, release readiness, incident response, and root cause analysis
• Knowledge of AI concepts, data platforms, anomaly detection, incident correlation, and intelligent automation use cases
• Strong collaboration skills across application support, application development, release management, risk, security, business, and vendor stakeholders
• Ability to translate production support insights into actionable engineering improvements

Core Competencies

Demonstrates expertise in Site Reliability Engineering (SRE) practices, including monitoring, observability, and automation, while effectively collaborating with cross-functional teams to enhance production readiness and incident response. Proven ability to analyze performance metrics and drive improvements in high-availability environments.

Highest-signal resume keywords

• Site Reliability Engineering (SRE)
• Monitoring And Observability
• Automation And Intelligent Tooling
• Programming Proficiency In Python, Java, Go, Or PowerShell
• Experience In Financial Services Or Regulated Environments

ATS Optimization Keywords

Hard Skills

• Monitoring And Observability Platforms
• Dashboard Design
• Alert Tuning
• Telemetry Coverage
• Log Analysis
• Metrics And Traces
• Event Correlation
• Disaster Recovery
• Performance Testing
• Resiliency Testing

Soft Skills

• Strong Collaboration Skills
• Mentoring And Best-Practice Sharing

Certifications & Qualifications

• SRE Certification
• Observability Certification
• Automation Certification
• ITIL Certification

Industry Keywords

• Application Support Engineering
• Software Engineering
• Production Support
• Application Operations
• High-Availability Environments
• Capital Markets
• Regulated Environments

Tools & Technologies

• AI Concepts
• Data Platforms
• Anomaly Detection
• Incident Correlation
• Intelligent Automation