Product Engineer II - ArcGIS Monitor

Esri•Redlands, CA

2d•Onsite

About The Position

As a Product Engineer II on the ArcGIS Monitor team, you will help build capabilities that apply AI to simplify and automate enterprise system observability. You will help define how observability solutions collect telemetry and monitor the health, performance, and usage of ArcGIS systems. The platform observes and analyzes 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 observability capabilities to include 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 planning, and AI-assisted troubleshooting and remediation for enterprise ArcGIS environments. The role works across software development, testing, product requirements, user experience, documentation, and validation of AI-assisted workflows.

Requirements

At least 2 years of professional experience in a similar position supporting similar responsibilities.
Bachelor’s degree in Information Systems, Geographic Information Systems, Information Technology, Computer Science, or a STEM-related field.
Experience deploying and/or administering ArcGIS Enterprise, ArcGIS Online, or comparable IT systems, including 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.

Nice To Haves

Master’s degree in Information Systems, Geographic Information Systems, Information Technology, Computer Science, or a STEM-related field.
Strong software product testing and QA experience.
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.
Interest in building AI-assisted operational systems that help automate diagnostics, troubleshooting, and infrastructure optimization.
Exposure to AI-assisted observability or AIOps concepts.
Experience with software control systems such as Git and continuous integration and deployment (CI/CD) concepts.

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 defining new feature capabilities to guide software development.
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 for rich user experiences and 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 for root cause analysis, system diagnostics, performance troubleshooting, and operational recommendations.
Help 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 best practices, user documentation, demonstrations, and technical assistance for the product.
Work with automation engineers to design UI automation.