Splunk AI Solution Architect

2 weeks ago

Hyderabad, Telangana, India beBeeAI Full time ₹ 35,00,000 - ₹ 40,00,000

Job Overview

Seeking a skilled Splunk Developer to lead AI-driven monitoring solution development.

Key Responsibilities

  • Design and implement ML-based monitoring solutions using Splunk's ML Toolkit (MLTK).
  • Build predictive models for infrastructure metrics (CPU, memory, latency, etc.).
  • Develop custom use cases—such as log clustering, failure prediction, and capacity forecasting.
  • Optimize real-time analytics for large-scale datasets (millions of events/sec).

Observability & Unified Dashboards

  • Implement end-to-end observability using Splunk Observability Cloud (APM, RUM, Log Observer, Infrastructure Monitoring).
  • Design unified dashboards that consolidate metrics, traces, and logs across hybrid cloud and on-prem systems.
  • Correlate ML insights with observability data to automate root cause analysis (RCA).
  • Integrate with OpenTelemetry, Prometheus, and distributed tracing for full-stack visibility.

Search Optimization & Scalability

  • Reduce search overhead by optimizing SPL queries and data model acceleration.
  • Implement summary indexing and data sampling for high-volume environments.

Automation & Advanced Analytics

  • Python scripting for custom ML pipelines, API integrations, and automation.
  • Leverage Splunk's REST API for dynamic dashboarding and alerting.
  • Splunk App Development & Integrations: Build custom apps and integrate Splunk with third-party tools.

Mandatory Skills

6-8 years of Splunk development with proven ML use cases (anomaly detection, forecasting, clustering).

Hands-on Splunk Observability Cloud experience.

Experience building unified dashboards for infrastructure.

Strong Python skills for ML (Pandas, Scikit-learn).

Search optimization at scale (data models, accelerated reports, summary indexing).

Familiarity with DevOps practices.

Experience with OpenTelemetry, Prometheus, and distributed tracing.

Knowledge of IT operations and SRE.

Splunk certifications.

Knowledge of MLOps pipelines.

Experience with OpenTelemetry, Prometheus, and Grafana integrations.

This role requires a highly skilled Splunk developer who can optimize performance, enhance observability, and implement AI-driven monitoring solutions.

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