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Staff/Senior Software Consultant - Observability Engineer

Pakistan, Lahore · Job Posted July 04, 2026
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Job Responsibility

  • Collaborate with engineering, operations, and other stakeholders to understand enterprise architecture, monitoring requirements, and performance goals
  • Identify and define key performance indicators (KPIs) and metrics, diagnose issues, and proactively identify areas for optimization
  • Develop and implement observability frameworks, tools, and processes to enable comprehensive monitoring, logging, and tracing of systems and applications
  • Ensure the availability, scalability, and reliability of infrastructure and deployment environments
  • Implement and manage monitoring and observability tools (such as AppDynamics, DataDog, Splunk, ELK, or Sentry) to gain insights into system performance and health
  • Provide timely and accurate reports on application performance, highlighting key insights and trends
  • Collaborate with digital squads to implement performance improvements, including code optimizations and infrastructure adjustments
  • Offer guidance and training to end-users and internal teams on best practices for APM and optimizing application performance
  • Provide recommendations on monitoring systems, logging frameworks, and distributed tracing platforms
  • Manage and deliver key KPI metrics across enterprise architecture and perform trend analysis
  • Deliver a proactive monitoring framework across infrastructure and digital experience monitoring domains
  • Provide expertise in problem detection, isolation, and root cause analysis during incident management, using relevant data and artifacts from observability tools and corresponding systems

Requirements

  • Around 8+ years of experience with IT infrastructure and applications
  • 3-5 years of hands-on experience in observability and continuous integration
  • 2+ years of programming background in Java or relevant technologies
  • Knowledge of cloud infrastructure (Azure) and cluster management tools such as Kubernetes
  • In-depth knowledge of application performance metrics, monitoring, and troubleshooting
  • Strong communication skills with the ability to align the organization on complex technical decisions
  • Bachelor's or Master's degree in Information Technology, Computer Science, or a related quantitative discipline

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