Sr Software Engineer Syseng

Observability & Monitoring 

• Design, implement, and operate enterprise observability solutions using Dynatrace, including logs, metrics, traces, and RUM. 
• Define golden signals, SLOs, SLIs, and error budgets for critical applications and infrastructure. 
• Create dynamic and adaptive alerting strategies to reduce noise and improve signal quality. 
• Partner with application teams to embed reliability and observability standards into services from design through production. 

AI Agents & Intelligent Automation 

• Build and deploy AI/ML-powered agents that analyze:  
• Dynatrace logs and metrics 
• Historical incident data 
• Behavioral and anomaly patterns 
• Implement predictive monitoring and anomaly detection using statistical models or ML techniques. 
• Automate alert triage, correlation, and root cause analysis (RCA) using AI-driven approaches. 
• Continuously improve models based on operational feedback and outcomes. 

Self-Healing & Recovery 

• Design and implement self-healing systems that automatically:  
• Restart or rescale services 
• Redirect traffic 
• Roll back failed deployments 
• Trigger remediation workflows 
• Integrate automated recovery actions with CI/CD pipelines, runbooks, and orchestration tools. 
• Ensure recovery mechanisms are safe, auditable, and compliant with enterprise governance. 

Reliability Engineering & Operations 

• Lead incident response, post-incident reviews, and root cause analysis. 
• Establish runbooks, automated remediation playbooks, and operational standards. 
• Drive reductions in MTTR, incident frequency, and operational toil. 
• Participate in on-call rotations and help build a sustainable on-call culture. 

Platform, Cloud & Infrastructure 

• Work with cloud and onprem infrastructure teams to improve reliability at scale. 
• Build automation using Infrastructure as Code (IaC) practices. 
  • Ensure systems meet security, compliance, and resiliency requirements expected in financial or regulated environments.