Build ML-based anomaly detection and pattern recognition systems.
Enhance telemetry with smart tagging and metadata for better AI insights.
Develop event-driven workflows and self-healing systems using AI triggers.
Automate incident response with generative AI and custom AI agent orchestration.
Use time-series forecasting and predictive modelling to anticipate failures.
Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation.
Build scalable, fault-tolerant systems in a cloud-native environment.
Participate in on-call rotations and lead incident response for critical systems.
Skilled in API integration for streamlined data exchange and system connectivity.
Run internal AIOps workshops and help teams adopt AI maturity models.
Champion responsible AI practices and ethical automation.

Intermediate Software Engineer – AIOps

Key skills