Site Reliability Engineer

• Primary skills:Domain->Banking->Operations Management->Consumer Banking,Process->Maintenance and Production Support process->PLM Production Support process,Technology->OpenSystem->Python - OpenSystem Site reliability Engineer
  
  

Required Skill set Site Reliability Engineers require advanced reliability engineering and cloud architecture skills focused on prevention, resilience, and production readiness. Critical skills include deep expertise in Azure and/or AWS, cloud‑native networking, compute, storage, scaling, failover, and recovery patterns. SREs must be skilled in observability and monitoring platforms, signal quality improvement, and proactive detection techniques. Strong automation capabilities are required, including designing auto‑remediation and self‑healing patterns using scripting and automation frameworks, and partnering with Automation COE teams for scalable delivery. SREs must also have strong understanding of CI/CD pipelines and release processes to assess production readiness, identify reliability risks introduced by deployments, and ensure new capabilities meet non‑functional requirements for availability, performance, scalability, resiliency, and recoverability. The role requires the ability to lead high‑quality post‑incident and problem reviews and to identify and remediate systemic and architectural risks across application ecosystems.

Services Provided: The services provide preventative reliability engineering focused on reducing MTTR, improving system resilience, and preventing recurring incidents. They review non‑functional requirements to ensure new capabilities meet production readiness standards for performance, availability, resiliency, scalability, and recoverability. SREs define and apply reliability standards, enhance observability and monitoring signal quality, and design auto‑remediation and self‑healing patterns. They deliver proactive stability improvements through detection, capacity forecasting, and resilience automation, and they lead high‑quality post‑incident and problem reviews to identify and remediate systemic risk across application ecosystems. remediation actions and monitoring or tooling improvements. Automation Mindset:

• PowerShell
• AWS CLI
• Python
• Ansible
• Gitlab SaaS & Gitlab Duo
• MS PowerApps
• General CI/CD pipeline concepts and usage Monitoring & Observability:
• Cloudwatch (expert)
• Splunk (expert)
• Dynatrace (expert)
• Create dashboards (expert)
• Create reports (expert)
• Seq
• Synthetic Monitoring
• Real User Monitoring