Open-Source Observability and AIOps platforms Expert
- Orange Business
- 8 - 12 years
- Mumbai
- 4 months ago
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Job Description
Key Responsibilities
- Define and enforce best practices, governance frameworks, and standards for observability and AIOps implementations.
- Design and Deploy observability solutions using open-source toolsets (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Open Telemetry etc)
- Build scalable and resilient observability platforms across multi-cluster and multi-cloud environments; establish MELT strategies; optimize storage efficiency and query performance
- Applying AIOps methodologies and machine learning techniques to observability data for automated event correlation, anomaly detection, root cause analysis, and predictive insights
- Design and deploy RAG-based architectures to enable contextual incident triaging, intelligent knowledge retrieval, and accelerated root-cause analysis.
- Integrate Large Language Models (LLMs) with observability platforms to support incident summarization, and AI-driven recommendations.
- Leverage advanced analytics to detect performance bottlenecks in observability/AIOps platforms and implement proactive optimizations.
- Drive data governance initiatives in collaboration with cross-functional teams to ensure data quality, privacy, and security.
- Stay abreast of emerging trends in open-source observability, AIOps, and LLM technologies to drive business-aligned strategies
Mentor and upskill junior team members by developing technical content, documentation, and training materials.
Skills & Qualification
- 810 years of extensive experience in observability, monitoring, and AIOps solutions across enterprise environments
- Proven hands-on expertise in implementing open-source observability stacks (OpenTelemetry, Prometheus, Grafana, Loki, ELK/OpenSearch, etc.).
- Demonstrated experience in AIOps solution design and implementation, including noise reduction, event correlation, anomaly detection, and predictive analytics.
- Strong proficiency in containerization and orchestration technologies (Kubernetes, Docker) and cloud-native architectures.
- Experience working with major cloud platforms (AWS, Azure, GCP) for large-scale, distributed observability deployments.
- Skilled in scripting and automation using Python, Ansible, Bash, and Terraform.
- In-depth knowledge of APIs, data pipelines, and integration frameworks for telemetry ingestion and processing.
- Solid understanding of Retrieval-Augmented Generation (RAG) architectures and practical experience integrating Large Language Models (LLMs) into enterprise observability workflows..
- Excellent analytical, problem-solving, and communication skills, with the ability to collaborate effectively across cross functional teams
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT Infrastructure ServicesRole: IT Infrastructure Services - OtherEmployement Type: Full timeContact Details:
Company: Orange BusinessLocation(s): Mumbai+ View Contact
Keyskills: Open Telemetry Prometheus Grafana Cloud Native OpenSearch Elk docke kuber
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