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    Principal Observability Engineer - Hyderabad, India - Experian

    Experian
    Experian Hyderabad, India

    Found in: Talent IN C2 - 2 days ago

    experian background
    Full time
    Description

    Job Description

    The Principal Observability Engineer is a critical role in our organization, dedicated to ensuring the robustness, performance, and scalability of our infrastructure and applications through superior monitoring and observability practices. This role will work closely with Infrastructure as Code (IAC) tooling like Terraform and will have a strong understanding of open telemetry standards. Familiarity with current monitoring and logging tools like Dynatrace and Splunk is essential. This role is ideal for a proactive go-getter who is eager to drive new technology adoption within the organization.

    Summary of Primary Responsibilities


    • Lead the design and implementation of observability solutions that provide deep insights into application performance, system health, and user experience.


    • Establish and advocate for observability best practices across engineering teams.


    • Work closely with the infrastructure teams to automate and optimize infrastructure provisioning and scaling using IAC tools like Terraform.


    • Ensure infrastructure code is tested, reliable, and efficient.


    • Champion the adoption of open telemetry standards to collect, process, and export telemetry data.


    • Utilize and integrate monitoring tools like Dynatrace and Splunk to provide thorough insights and analytics.


    • Drive the evaluation and adoption of new tools and technologies to keep the organization at the forefront of observability and monitoring practices.


    • Collaborate with various engineering teams to ensure smooth adoption and transition to new technologies.


    • Analyze existing monitoring and observability practices, identifying areas for improvement or optimization.


    • Foster a culture of continuous learning and improvement within the observability team and across the organization.


    • Provide leadership, guidance, and mentoring to the observability team.


    • Foster a collaborative and inclusive environment that encourages innovation and growth.

    Qualifications

    What your background looks like

  • 10+ years of observability engineering experience
  • Information Technology degree and/or technology certifications preferred or substantial equivalent experience.
  • Design and implement an observability system for a new microservices-based application.
  • Migrate an existing monitoring system to Prometheus and Grafana
  • Develop a new alerting system to detect and respond to performance issues.
  • Work with the development team to instrument their code for better observability.
  • Train and mentor other engineers on observability best practices
  • Strong customer and communication skills to interact with team members, customers, vendors and leadership team.
  • Advanced Shell scripting and IaC automation skills with Ansible and Terraform
  • Deep understanding of open telemetry standards.
  • Experience with monitoring and logging tools like Dynatrace and Splunk.
  • Proactive, go-getter attitude with a passion for new technology adoption.
  • Excellent communication and collaboration skills.
  • Ability to lead and mentor a team of engineers.
  • Working Knowledge of Python and any databases (SQL/NoSQL).
  • SMEs in enterprise monitoring like APM, Custom attribute Implementation, synthetic monitoring, browser monitoring, and Log monitoring
  • Knowledge of requirement gathering and rollout monitoring and observability solutions. Partner with the business and development teams to identify requirements, define monitoring solutions, and implement the same.
  • Experience in Application Performance Monitoring (APM) and Infrastructure Monitoring for Different Hybrid Business Applications and Infrastructure
  • Providing health and performance reports, developing AIOps rules, creating alerts, creating custom dashboards
  • Experience in creating workloads and user onboarding.
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