Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects. We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong. We are currently searching for a Sr Application Performance and Observability Engineer: The Challenge (Responsibilities) Lead the technical investigation and implement end-to-end application traceability across complex systems. Diagnose and resolve network, proxy, load balancer, and TLS troubleshooting issues. Perform API latency, timeout, retry, and dependency failure analysis. Execute browser-to-backend transaction tracing, Real User Monitoring, and frontend error analysis. Your Profile (Requirements) Deep Java application performance engineering experience. Strong WebSphere and WebLogic diagnostic skills. JVM profiling, garbage collection analysis, heap dumps, and thread dumps. Application-level structured logging and correlation ID implementation. Distributed tracing across applications, APIs, and downstream dependencies. Hands-on experience with Datadog , New Relic , or similar APM tools. Oracle performance diagnostics, including SQL execution plans, AWR, and ASH. JDBC connection pools, application thread pools, and session management. Experience tracing transactions across legacy or partially instrumented platforms. High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery. Technologist DNA: A deep understanding of the difference between "coding" and "engineering." Desired Familiarity with cloud-native foundations or AI coding assistants. Languages Advanced Oral English: For seamless collaboration with global teams. Advanced Spanish. Work Arrangement We value flexibility to support your lifestyle. This position is available as: Remote If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page : https://www.sequoia-connect.com/careers/ Requirements Deep Java application performance engineering experience Strong WebSphere and WebLogic diagnostic skills JVM profiling, garbage collection analysis, heap dumps, and thread dumps Application-level structured logging and correlation ID implementation Distributed tracing across applications, APIs, and downstream dependencies Hands-on experience with Datadog, New Relic, or similar APM tools Oracle performance diagnostics, including SQL execution plans, AWR, and ASH JDBC connection pools, application thread pools, and session management API latency, timeout, retry, and dependency failure analysis Browser-to-backend transaction tracing Real User Monitoring and frontend error analysis Network, proxy, load balancer, and TLS troubleshooting Experience tracing transactions across legacy or partially instrumented platforms
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