Position Overview: The Performance Engineer will be responsible for maintaining the stability, performance, and availability of critical production systems in a fast-paced, dynamic environment. This role requires expertise in managing production issues related to containerization technologies such as EKS and Docker, as well as managing enterprise applications deployed on WebSphere Application Server (WAS). Additionally, the specialist will handle performance optimization and real-time data streaming issues, working with Kafka and Redis, and managing API integrations using Apigee. The position focuses on proactive monitoring, incident management, and troubleshooting, with a strong emphasis on ensuring the performance of systems and minimizing downtime. The role will also involve working with cloud environments like AWS and leveraging tools like Datadog and Splunk for system monitoring, ensuring smooth application operation, and identifying performance bottlenecks. Key Responsibilities: Production Issue Resolution: Identify, troubleshoot, and resolve production performance issues related to the tech stack, which includes EKS (Elastic Kubernetes Service), Docker, WebSphere Application Server (WAS), Kafka, Redis, and Apigee. Ensure optimal system performance by investigating resource bottlenecks, latency, and availability issues. Adhoc SPE Tickets: Work on SPE (Support/Service Performance Engineering) tickets on an ad-hoc basis. These tickets are typically related to performance troubleshooting and system optimizations across the tech stack. Conduct in-depth analysis and provide effective solutions to improve the overall system performance. Incident Management and PagerDuty Integration: Handle production incidents related to performance degradation and ensure effective incident management processes are followed. Integrate with PagerDuty to automate the incident notification process, enabling the team to respond promptly to critical performance issues. Performance Monitoring and Optimization: Continuously monitor system performance metrics, such as throughput, latency, and system resource utilization, to ensure that systems run efficiently and within acceptable thresholds. Identify trends and proactively recommend improvements to avoid potential performance bottlenecks before they impact production. Collaboration and Reporting: Collaborate with developers, system architects, and other cross-functional teams to identify performance improvement opportunities. Generate performance reports, track incident trends, and provide recommendations to improve the system's overall responsiveness and efficiency. Key Qualifications: Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of experience in production support and management of both on-premises and cloud-based systems. Hands-on expertise with EKS (Elastic Kubernetes Service) and containerization technologies, particularly Docker, to manage containerized environments and applications. In-depth knowledge of WebSphere Application Server (WAS) for managing Java-based enterprise applications and troubleshooting performance-related issues. Strong proficiency with Kafka for managing real-time data streams, message queues, and ensuring data processing scalability. Experience with Redis for in-memory data caching and performance optimization within high-traffic systems. **Proficiency in Apigee for API management, integration, and ensuring optimal API performance and security. Experience with monitoring tools like Datadog, Splunk, or similar for collecting and analyzing metrics to identify performance bottlenecks. Solid understanding of cloud platforms, especially AWS, with hands-on experience in scaling applications and ensuring high availability and fault tolerance. Expertise in security protocols such as OAuth and SSL to secure data and communications within production environments.
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