Digital Technology Senior Specialist – Observability & AI Ops

About the role

As an AIOps & Observability Engineer, you will support the implementation, enhancement, onboarding, and day-to-day operations of observability platforms, with a focus on Elastic Stack capabilities and practical SRE-driven operational outcomes. As a Senior AI Ops Engineer, you will be responsible for:

What you'll do

• Support the implementation, enhancement, onboarding, and day-to-day operations of observability platforms
• Implement and manage the life cycle of enterprise observability platform based on elastic tech stacks [not limited to] Kibana, Logstash, Beats, Elastic Agent, Fleet
• Onboard full suite of 20,000 plus devices under observability umbrella
• Onboarding infrastructure, cloud services, applications, and platforms into observability and monitoring solutions
• Building and maintaining dashboards, visualizations, alerts, and operational reports for technology teams

What you need

• 7–13 yrs of experience
• Python
• REST APIs
• AWS
• Git
• Docker
• Kubernetes
• Any graduate

Good to have

• Elasticsearch
• Agile
• ITIL
• Active Directory
• Dashboarding
• Terraform