As a Product Engineer for observability at Esri, you will be part of a global team focused on enhancing ArcGIS Enterprise through advanced observability patterns. Your role will involve leveraging AI and data-driven techniques to improve automated root cause analysis and provide intelligent sizing recommendations. You will engage in designing, building, and delivering observability solutions while ensuring software quality and stability. This position requires collaboration with product and development engineers to meet customer needs effectively.

• 5+ years of experience with ArcGIS Enterprise and ArcGIS platform technologies
• Solid foundation of observability concepts: metrics, logs, traces, SLIs, SLOs
• Hands-on experience with Prometheus / Grafana
• Robust experience developing and implementing test plans and test automation
• Experience working with Python, Java, or other scripting languages
• Strong experience translating customer needs in observability into technical requirements
• Excellent problem solving and analytical skills
• Proven ability to build and deliver quality software in a team environment
• Strong time management and organizational skills
• Bachelor’s degree in computer science, software engineering, information systems, or a related technical field

• Translate customer needs and industrial trends into technical requirements for future ArcGIS Enterprise software releases
• Design and evolve end-to-end observability pipelines, spanning metrics, logs, traces, and events, across ArcGIS Enterprise deployments
• Contribute to the design of AI Driven Root Cause Analysis capabilities that accelerate troubleshooting and incident resolution
• Partner on the design of data driven models to generate sizing and capacity guidance for customers
• Collaborate with product engineers and development engineers on software project teams to build new ArcGIS Enterprise software releases
• Share workflows in help topics, blog articles, presentations, tutorials, and samples
• Troubleshoot and triage customer issues
• Review and analyze automated test results, report status on software quality and stability, and certify software quality