Product Engineer II - ArcGIS Monitor

Overview Do you want to join a team of dynamic and detail-oriented engineers building capabilities that apply AI to simplify and automate enterprise system observability. In this role, you will help define how observability solutions add telemetry and monitor health, performance, and usage of ArcGIS systems.

By observing and analyzing both traditional and cloud infrastructure, software components, and operational metrics, our observability platform helps organizations understand system behavior, detect anomalies, optimize performance, and plan for future capacity across complex ArcGIS deployments.

We are evolving these capabilities to incorporate AI-assisted and agentic operations, enabling administrators to interact with system telemetry using natural language. These capabilities will support system health inquiries, capacity forecasting, root cause analysis, operational planning for maintenance events, and AI-assisted troubleshooting and remediation for enterprise ArcGIS environments.

Responsibilities Work with software developers to design, build, test, and release high quality software

Author and execute test plans; build and manage testing datasets for N-path, acceptance, and regression testing

Research industry standards and specifications to translate requirements into software design

Author Scrum user stories that define new feature capabilities to guide the software development process

Communicate with product users to identify product 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 that integrate AI-assisted operations and natural language system interactions for observability and system management

Evaluate and validate AI-assisted features that support root cause analysis, system diagnostics, performance troubleshooting, and operational recommendations

Help design and test scenarios that simulate 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 provide technical review of user guide 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

Requirements2+ years of professional experience in a similar position supporting similar responsibilities

Bachelors in Information Systems (IS), Geographic Information Systems (GIS), Information Technology (IT), Computer Science, or STEM related field

Experience deploying and/or administering ArcGIS Enterprise, ArcGIS Online, or other comparable IT systems (web / 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, working in a cross-functional environment

Excellent problem solving and analytical skills

Recommended Qualifications Masters in Information Systems (IS), Geographic Information Systems (GIS), Information Technology (IT), Computer Science, or STEM related field

Strong testing and QA experience with software products

Experience maintaining and troubleshooting complex enterprise systems

Experience with observability systems and performance monitoring concepts (ArcGIS Monitor, Prometheus, Datadog, Open Telemetry)
Working knowledge of at least one scripting or programming language (Python, Shell, Power Shell, JavaScript)
Experience in 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 (GIT) and continuous integration and deployment (CI/CD) concepts#LL-JJ2#LL-ONSITE Total Rewards Esri’s competitive total rewards…