Associate Site Reliability Engineer II

Role Overview

Core Responsibilities

• Monitor service health, dashboards, alerts, and key reliability indicators.
• Respond to alerts, support bridge calls, execute runbooks, communicate status, and escalate when required.
• Create and maintain dashboards, log queries, telemetry checks, alert validation, and actionable monitoring signals.
• Document operational procedures, update recovery steps, validate readiness, and support knowledge sharing.
• Automate repetitive checks, data collection, remediation, reporting, and toil reduction.
• Support root cause analysis, postmortems, and corrective or preventive action closure.
• Identify alert noise, toil, monitoring gaps, and preventive improvements.
• Support SLOs, SLIs, SLAs, error budgets, operational readiness reviews, and production support standards.
• Use or improve AI-assisted tools for anomaly detection, incident correlation, root cause hints, and knowledge retrieval.
• Collaborate with engineering, infrastructure, cloud, and application teams on service performance.

Skills and Experience

• Foundational knowledge of Linux, networking, application support, cloud operations, production operations, and ITIL-style incident and change processes.
• Ability to use Python, PowerShell, Bash, or equivalent scripting for automation, diagnostics, evidence collection, and reporting.
• Experience with Git, CI/CD basics, ServiceNow or equivalent ticketing, and observability tools is relevant.
• Exposure to Azure services, Docker, Kubernetes, and hybrid cloud operations is required.
• Understanding of SLIs, SLOs, SLAs, error budgets, alerting, incident response, postmortems, and operational runbooks is required.
• Hands-on SQL skills are needed for operational diagnostics, data validation, and service health checks.
• Ability to use AI-assisted investigation and correlation tools responsibly while validating evidence.

Minimum Qualifications

• At least 2 years of experience in production support, DevOps, infrastructure, cloud operations, or software engineering.
• Experience supporting business-critical systems and working in incident, problem, and change management processes.
• Ability to automate standard operational tasks using Python, PowerShell, Bash, or equivalent.
• Bachelor’s degree in computer science, engineering, or equivalent practical experience.
• Exposure to regulated enterprise, insurance, banking, or financial services environments is preferred.
• Business proficiency in English is required; Japanese language skills are a plus.

Preferred Exposure

• Exposure to hybrid cloud platforms involving on-premises and Azure-hosted services.
• Exposure to ELK or Elastic, Grafana, Prometheus, Splunk, Azure Monitor, or Azure Application Insights.
• Exposure to GitHub, Azure DevOps, pipelines, repositories, and operational change controls.
• Exposure to Kubernetes-based production services and containerized application support.
• Exposure to operational readiness reviews, service health reviews, and toil reduction initiatives.