Sr. Product Engineer- ArcGIS Monitor

Esri•Redlands, CA

1d•Onsite

About The Position

Join a team building capabilities that apply AI to simplify and automate enterprise system observability. This role helps define how observability solutions collect telemetry and monitor the health, performance, and usage of ArcGIS systems. The platform observes traditional and cloud infrastructure, software components, and operational metrics to help organizations understand system behavior, detect anomalies, optimize performance, and plan capacity across complex ArcGIS deployments. The team is evolving these capabilities to incorporate AI-assisted and agentic operations, allowing administrators to interact with system telemetry using natural language. These capabilities support system health inquiries, capacity forecasting, root cause analysis, maintenance-event planning, and AI-assisted troubleshooting and remediation for enterprise ArcGIS environments. Relocation assistance is available for relocating to the Redlands, California area.

Requirements

At least 5 years of experience in a similar position supporting similar responsibilities.
Professional experience working as a GIS or IT practitioner maintaining a GIS or IT environment.
Experience deploying and/or administering ArcGIS Enterprise, ArcGIS Online, or comparable IT systems such as web or application servers.
Familiarity with traditional RDBMS systems, preferably PostgreSQL, including common SQL commands and concepts.
Familiarity with general server administration on Windows or Linux.
Strong communication and collaboration skills in a cross-functional environment.
Excellent problem-solving and analytical skills.
Bachelor's degree in Information Systems, Geographic Information Systems (GIS), Geography, Computer Science, or a STEM-related field.

Nice To Haves

Strong testing and QA experience with software products.
Experience maintaining and troubleshooting complex enterprise systems.
Experience with observability systems and performance-monitoring concepts, such as ArcGIS Monitor, Prometheus, Datadog, or OpenTelemetry.
Working knowledge of at least one scripting or programming language, such as Python, Shell, PowerShell, or JavaScript.
Experience with the SCRUM process and its application to the software development lifecycle.
Familiarity with large language models (LLMs) and their use in developer tools, operational platforms, or observability systems.
Experience with prompt engineering or designing workflows that leverage natural-language interfaces.
Understanding of LLM limitations, including hallucinations, context limitations, and reliability challenges.
Experience designing user experiences that safely incorporate AI-generated insights, including verification, explainability, and human-in-the-loop review.
Interest in building AI-assisted operational systems that help automate diagnostics, troubleshooting, and infrastructure optimization.
Familiarity with AI-assisted observability or AIOps concepts.
Experience with software control systems such as GIT and continuous integration and deployment (CI/CD) concepts.
Master's degree in Information Systems, Geographic Information Systems (GIS), Geography, Computer Science, or a STEM-related field.

Responsibilities

Work with software developers to design, build, test, and release high-quality software.
Author and execute test plans and build and manage testing datasets for N-path, acceptance, and regression testing.
Research industry standards and specifications and translate requirements into software design.
Author Scrum user stories that define new feature capabilities and guide the software development process.
Communicate with product users to identify requirements and advocate for their needs throughout the software development lifecycle.
Collaborate with product UI/UX designers to create mockups of rich user experiences for new capabilities.
Help define user workflows integrating AI-assisted operations and natural-language system interactions for observability and system management.
Evaluate and validate AI-assisted features supporting root cause analysis, system diagnostics, performance troubleshooting, and operational recommendations.
Design and test scenarios simulating real-world enterprise ArcGIS deployments to validate system insights and recommendations.
Help define safe operational boundaries and human-in-the-loop workflows for AI-assisted system operations and automation.
Author user-guide documentation and technically review documentation for accuracy, completeness, and usability.
Provide product best practices, user documentation, demonstrations, and technical assistance.
Work with automation engineers to design UI automation.
Evaluate and refine AI-generated documentation drafts from internal tools or agentic development workflows for accuracy, clarity, and usability.
Use modern documentation tooling and AI-assisted writing workflows to improve content-development efficiency while maintaining editorial quality.