Job Description

• Develop and maintain comprehensive monitoring solutions for cloud-based services and applications.
• Configure monitoring tools and systems to collect relevant metrics, logs, and traces.
• Create custom monitoring dashboards and reports using Splunk, DataDog, DynaTrace or other tools, to provide real-time insights into system performance and health.
• Continuously monitor the cloud infrastructure's performance and capacity, anticipating and addressing potential scalability issues.
• Proactively suggest and implement improvements to enhance the system's reliability, resilience, and fault tolerance.
• Work on automating tasks to streamline operational processes and reduce manual intervention.
• Collaborate with cross-functional teams to investigate and resolve critical incidents, ensuring minimal impact on end-users.
• Work with Problem Management team to complete post-mortem analysis of incidents to identify root causes and implement preventive measures.
• Understand the overall architecture of our systems to identify gaps in monitoring and troubleshoot issues.
• Configure and maintain custom dashboards and alerts in various monitoring tools.
• Create custom reports, deliver report presentations to various stakeholders.
• Develop scripts for monitoring PowerShell, Python, Shell scripting.
• Develop metrics for both the business and technical teams to determine the health of systems.
• Provide on-call support as needed.
• Leads and coordinates performance engineering for medium to large initiatives.
• Collect and document expected system performance and operational characteristics.
• Collect and/or prepare test data for test execution.
• Develop and execute performance tests including load, stress, endurance, fail-over and interoperability.
• Conduct technical analysis of performance test results and production systems, and provide recommendations on performance tuning, systems, and infrastructure. Identify, report, and review defects in assessing system performance and stability.
• Defining the strategy for enabling performance diagnostics and monitoring using an Application Performance Management (APM) tool, other monitoring tools, and diagnostic techniques.
• Collaborating with developers to promote the concept of performance engineering during all phases of the SDLC to detect and correct performance issues earlier in the lifecycle.
• Leads peer reviews to ensure the completeness of all test assets created.
• Resolve performance and stability issues in performance test environment.
• Develop performance engineering work plan structure and project schedule.
• Review architectural design for performance risks and potential issues.
• Prepare capacity analysis when applicable.

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