DevOps Engineer

• 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, SRE – AI

Intermediate Software Engineer – AI