Senior Observability Engineer, ArcGIS Enterprise

About the role

Esri is hiring a Senior Observability Engineer for ArcGIS Enterprise, a suite of mapping and analytics products used by thousands of customers and millions of users worldwide. The role works with a global team of product engineers, developers and writers to design and implement observability patterns, with a focus on AI and data-driven techniques such as automated root cause analysis and intelligent sizing recommendations. It involves designing, writing, building and delivering observability for ArcGIS Enterprise using software development and quality assurance practices.

Key responsibilities

• Translate customer needs and industry trends into technical requirements for future ArcGIS Enterprise releases
• Design and evolve end-to-end observability pipelines covering metrics, logs, traces and events across ArcGIS Enterprise deployments
• Contribute to AI-driven root cause analysis (RCA) capabilities that speed up troubleshooting and incident resolution
• Partner on data-driven models that give customers sizing and capacity guidance
• Work with product and development engineers to build new ArcGIS Enterprise releases
• Share workflows in help topics, blog articles, presentations, tutorials and samples
• Troubleshoot and triage customer issues
• Analyze automated test results, report on software quality and stability, and certify software quality

Required profile

• 5+ years of experience with ArcGIS Enterprise and ArcGIS platform technologies
• Solid foundation of observability concepts: metrics, logs, traces, SLIs and SLOs
• Experience developing and implementing test plans and test automation
• Bachelor's degree in computer science, software engineering, information systems or a related technical field

Required skills

• Hands-on experience with Prometheus and Grafana
• Experience with Python, Java or other scripting languages
• Ability to turn customer needs into technical requirements
• Strong problem-solving, analytical, time-management and organizational skills

Preferred: capacity planning, performance and chaos engineering, AI and machine learning concepts, Kubernetes resource management, large-scale distributed systems, and AWS and/or Azure deployment experience. Master's degree also preferred. The position is onsite in Redlands, California, with a base salary range of $93,600-$159,328 USD.