Lead Network Load Balancing Engineer

5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Data Engineer, you will be responsible for designing, building, and maintaining data ingestion and transformation pipelines to aggregate observability data from various systems such as infrastructure, applications, APIs, and cloud services. Your key responsibilities will include: - Integrate diverse telemetry sources into enterprise observability platforms like Splunk, Datadog, Prometheus, Grafana, Elastic Stack, New Relic, or Dynatrace. - Develop custom collectors, exporters, or plugins utilizing OpenTelemetry, Fluentd/Fluent Bit, or other open-source agents. - Implement and manage observability instrumentation across applications and services using APM agents, SDKs, and tracing frameworks. - Automate deployment and configuration of monitoring tools through Terraform, Ansible, Helm, or CI/CD pipelines. - Develop reusable scripts and modules for telemetry onboarding and dashboard creation. - Maintain observability-as-code practices to ensure reproducibility and governance. - Define and enforce data models, naming conventions, and tagging standards for metrics, logs, and traces. - Collaborate closely with SRE and DevOps teams to guarantee consistent telemetry across all environments. - Validate and optimize data ingestion for performance, cost-efficiency, and relevance. - Research and evaluate new observability tools, APIs, and technologies to enhance integration capabilities. - Contribute to enhancing telemetry quality, automation, and visualization. Additionally, it is essential to note that this job requires strong collaboration skills with cross-functional teams, a proactive approach to problem-solving, and a passion for staying updated with the latest trends in observability technologies.,

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