OpenOpportunity Sourced Jobs — Bengaluru
Full Time · On Site · Entry Level
Role: Database Administrator | Department: Engineering - Software & QA | Industry: Education / Training | Education: UG: B.Tech / B.E. in Any Specialization PG: Any Postgraduate Deliver engaging and interactive training sessions (24 hours total) based on structured modules Teach integration of monitoring, logging, and observability tools with machine learning Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks Help participants set up smart workflows for alert classification and routing using open-source stacks Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs Provide post-training support and mentorship when necessary Note: The full job description clearly describes a corporate-training/instructor engagement - delivering a fixed "24 hours total" curriculum on AIOps/Kubernetes topics (LangChain appears only as one of several hands-on lab tools taught, not the job's focus) - yet the structured Role field records this as "Database Administrator," a mismatch with both the JD content and the "AIOps Kubernetes Trainer" title. The Employment Type is listed as "Full Time, Permanent" despite the role being scoped and described as a bounded 24-hour training delivery, another structural inconsistency between the JD body and its own metadata.
Kubernetes, scikit-learn, LangChain, AI, Prometheus, OpenTelemetry, Grafana, ELK Stack, Minikube, Ollama LLMs, KEDA, kubectl, HPA, FluentBit, Helm, ML, Python, Prophet