Senior Performance Engineer

Experience:

• Design, develop, and execute load, stress, endurance, and scalability tests using tools such as JMeter, LoadRunner, or inhouse built tools.
• Create performance test strategies, scenarios, and scripts aligned with application architecture and business requirements.
• Integrate performance tests into CI/CD pipelines for continuous validation.
• Development experience in Java, Python, Perl, or SQL is nice to have.
• Understand critical production applications and their infrastructure dependencies to monitor, analyze, and detect anomalies.
• Solid understanding of resource consumption, memory behavior, and network protocols to identify performance bottlenecks and optimize system behavior.
• Define and track KPIs such as request rates, transactions per second, and client volumes to plan for future growth and plan adequate capacity.
• Use historical trends and predictive models to anticipate growth and ensure systems scale effectively.
• Collaborate with infrastructure teams to implement proactive capacity adjustments.
• Apply SLI/SLO/SLA principles and golden signals for critical applications, leveraging telemetry, anomaly detection, and observability practices.
• Analyze performance test results and system metrics to identify bottlenecks and recommend optimizations.
• Collaborate with development and infrastructure teams to ensure adequate capacity and performance tuning.
• Develop interactive dashboards and reports with impactful visualizations using BI Publisher and/or Tableau.
• Present findings and recommendations to technical and non-technical stakeholders in a clear, concise manner.
• Utilize monitoring tools such as Datadog, Splunk, Dynatrace, Prometheus, Grafana, ELK, and others.
• Explore new trends in automation and integrate performance testing into day-to-day activities.
• Solid understanding of virtualized environments (VMware/vSphere/OLVM, OpenStack) and modern application frameworks.
• Knowledge of application modernization concepts including microservices and APIs.
• Stronger understanding of containerization technologies specifically docker and Kubernetes (Pods ,services and namespaces)
• Proven experience with AWS and Azure cloud compute and storage services (AWS certification is a plus).
• Owns the outcome by taking personal accountability for delivering strong results
• Self-directed, willing to take initiative, pragmatic and results-oriented
• Obsessed with creating the best end-to-end customer experience
• Excellent analytical problem-solving skills, has keen attention to detail and wants to solve really hard problems, not just detect them
• Able to work with remote and international team members
• 8+ years of experience with a Bachelor's degree or 6+ years with a Master's degree in Computer Science, Software Engineering, or related field