Job Description
We are looking for a skilled Engineer – AIOps Engineering to design, build, and scale the next generation of intelligent operational platforms for our ecosystem. This role sits at the intersection of machine learning, LLMs, observability, automation and service reliability, enabling predictive and autonomous operations across a globally distributed setting.

In this role, you will architect and implement AIOps capabilities such as intelligent incident routing, anomaly detection, operational copilots, ChatOps workflows, and automated remediation. You will partner closely with

Responsibilities
AIOps Platform & Intelligence Development
- Design and build AIOps models using LLMs or classical ML for anomaly detection, correlation, root-cause identification, and intelligent event clustering.
- Develop operational copilots and chatbots capable of responding to incidents, surfacing insights, and driving automation through natural language.
- Build and maintain feature pipelines using telemetry, logs, metrics, traces, and runtime state for operational intelligence use cases.




- Implement predictive and preventive operations use cases, including capacity forecasting, early warning systems, and noisy-neighbor detection.

LLM Engineering & Applied AI
- Build knowledge-grounding systems for operational copilots using runbooks, incident data, historical patterns, service maps, and topology.
- Integrate LLM-based reasoning into observability and automation platforms.
- Develop embeddings, retrieval systems, RAG pipelines, and intent classification capabilities for operational queries.

Automation & Intelligent Remediation
- Build automated workflows for incident triage, diagnostics, collaboration, and remediation.
- Architect closed-loop automation patterns connecting alerts, insights, actions, and verification.
- Develop reusable automation modules integrated with unified observability platforms, cloud platforms, and orchestration systems.

Data, Observability

📌 Core infrastructure engineer 2 (Bengaluru)
🏢 Oracle
📍 Bengaluru