AIOps Engineer

*DevOps Artificial Intelligence Site Reliability Engineering*

Function

Platform Engineering & AI Operations

Experience

4 – 8 Years

Python

Kubernetes / EKS

Prometheus + Grafana

ML Ops

Terraform / IaC

CI/CD

About the Role

We are looking for a seasoned AIOps Engineer who sits at the intersection of platform reliability, AI/ML operations, and intelligent automation. You will design and operate AI-driven observability pipelines, build self-healing infrastructure, and embed machine-learning models into DevOps toolchains — turning telemetry noise into actionable intelligence at scale.

As a trusted member of the Platform Engineering team, you will own the full lifecycle of AIOps tooling: from anomaly-detection models and intelligent alerting to predictive capacity management and LLM-assisted incident response — all running on cloud-native, containerised infrastructure.

Key Responsibilities

AIOps & Intelligent Automation
- Design and operate AI/ML-powered observability platforms (anomaly detection, root-cause analysis, predictive alerting)



using tools such as Dynatrace, Current Relic, Moogsoft, or open-source equivalents.
- Build and maintain Python-based ML pipelines (scikit-learn, PyTorch, or TensorFlow) for log analytics, metric forecasting, and event correlation.
- Develop intelligent auto-remediation runbooks triggered by model-detected incidents, reducing MTTR by 40%+.
- Integrate LLM-assisted copilots (OpenAI / Azure OpenAI) into incident management workflows for automated triage and war-room summaries.

DevOps & Platform Engineering
- Own CI/CD pipeline design and maintenance using GitHub Actions, GitLab CI, or Jenkins; enforce shift-left security with SAST/DAST, SBOM, and Trivy scans.
- Provision, scale, and manage Kubernetes clusters (EKS / AKS / GKE) using Helm, Kustomize, and ArgoCD with GitOps workflows.
- Manage Infrastructure-as-Code using Terraform and Ansible across multi-cloud environments (AWS primary, Azure secondary).
- Champio

📌 AI Ops Engineer (Bengaluru)
🏢 Mastech Digital
📍 Bengaluru