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Observability & Telemetry Engineer (Hybrid – Gurgaon | US Shift)

0 years

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Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Observability & Telemetry Engineer


Key Responsibilities:
  • Design, deploy, and maintain observability stacks across

    AWS, Azure, and GCP

    environments.
  • Instrument distributed systems using

    OpenTelemetry

    , and integrate with telemetry pipelines for logs, metrics, and traces.
  • Optimize deployment architectures and configurations for observability agents across multiple stacks (

    Java, Python, Go, Ruby

    ).
  • Utilize

    Infrastructure-as-Code (IaC)

    for automating the deployment and lifecycle management of observability components.
  • Ensure observability pipelines are secure, reliable, and scalable, especially for

    time-series

    and

    NoSQL

    databases.
  • Integrate and configure tools such as

    Grafana

    ,

    Prometheus

    ,

    Loki

    ,

    InfluxDB

    ,

    Datadog

    ,

    Jaeger

    , and

    Zipkin

    .
  • Work with logging frameworks like

    log4j

    ,

    lograge

    ,

    Zerolog

    , and

    loguru

    to standardize and enrich log data.
  • Contribute to monitoring, alerting, and tracing strategies to detect and respond to performance or availability issues.


Required Qualifications:
  • Strong hands-on experience in deploying and managing observability solutions.
  • Proficient in interpreting and analyzing

    logs, metrics, and traces

    .
  • Deep understanding of

    instrumentation frameworks

    and telemetry formats.
  • Experience with

    IaC tools

    (e.g., Terraform, Ansible) for automation.
  • Familiarity with observability data security best practices.
  • Demonstrated ability to scale observability components and handle large volumes of telemetry data.


Soft Skills:
  • Detail-oriented with strong documentation practices for logging and monitoring configurations.
  • Effective in using observability data to identify root causes and improve system reliability.
  • Continuously looks for ways to enhance observability and performance insights.
  • Collaborative, experimental, and eager to adopt emerging best practices in monitoring and alerting.


Location:

Work Hours:

Urgency:

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