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Senior Observability Engineer-IT

Dell Technologies
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 days ago
Ansible

Full Job Posting

Qualifications

  • Take the first step towards your dream career
  • Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
  • Essential Requirements
  • 5 years of experience in DevOps, platform engineering, or SRE roles with exposure to telemetry and observability concepts ·
  • Working knowledge of modern observability stacks, such as: Dynatrace, Splunk, Grafana, DataDog, Elastic/ELK and data-pipelines such as: Fluent Bit, Vector, Cribl ·
  • Familiarity with tools like Terraform, Ansible, or Helm for automated provisioning and configuration management ·
  • Basic knowledge of OpenTelemetry concepts, collectors, and instrumentation principles
  • Strong analytical skills with a systematic approach to debugging distributed systems and telemetry pipelines under guidance
  • Desirable Requirements
  • Interest or prior exposure to AI Native Observability strategies for production AI systems, including leading platforms (Langfuse, Langsmith, Arize) that support this visibility

Responsibilities

  • You will:
  • Assist with deploying, configuring, and maintaining observability platforms (covering metrics, logs, distributed traces, and events) in production environments under senior engineer guidance, including troubleshooting basic performance issues and monitoring platform health
  • Implement industry standards such as OpenTelemetry under senior engineer guidance, including collector configuration, SDK integration, and supporting telemetry data pipelines for reliable data collection and routing ·
  • Monitor telemetry data ingestion rates and storage; assist with implementing sampling and retention strategies to balance system visibility with operational costs, and support automation of observability instrumentation and configuration using Infrastructure as Code (IaC) and CI/CD pipelines ·
  • Respond to alerts and participate in supporting observability platform health, assist with troubleshooting production issues related to observability platforms and telemetry pipelines, and support integration of observability platforms with enterprise systems ·
  • Support implementation of observability strategies for LLM applications, including model performance monitoring, prompt evaluation metrics, token usage tracking, and inference latency measurement under senior engineer guidance, and follow observability standards and best practices

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