Software Engineer I – AI Assistant Framework, ArcGIS Enterprise

Esri•Redlands, CA

1d•Onsite

About The Position

Build the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capabilities to thousands of customers and millions of users worldwide. Our team builds cutting-edge, highly scalable and reliable distributed software for on-premises and the cloud to make maps, geographic information, and analyses available on any device, anywhere, at any time. Our software engineers provide a strong technical voice in the product development process and use the best tools available to design, develop, and deliver a high-quality distributed systems platform. As a software engineer, you will work with our cross-functional global team of software engineers, product engineers, designers, product managers, and release engineers. You will be actively involved in enhancing the capability of the ArcGIS Enterprise platform from feature inception to delivery, using bleeding edge technology. If you are passionate about building great distributed systems, micro-services architecture, and spatial data analytics, join us!

Requirements

1+ years of experience in software development
Proficiency in Python and/or Java
Familiarity with RESTful APIs and backend frameworks such as JavaEE, Spring or FastAPI
Knowledge of relational databases such as SQL Server, Oracle, PostgreSQL, or DB2
Familiarity with current AI ecosystem including agents and related protocols (MCP, A2A, and more)
Excellent problem-solving, communication, and time management skills
Demonstrated ability to self-direct, with an eagerness to learn and grow
Knowledge of version control systems, particularly Git
Bachelor’s degree in computer science, GIS, mathematics, or a related field

Nice To Haves

Exposure to DevOps tools and CI/CD pipelines (such as GitHub Actions, Jenkins, Docker)
Understanding of cloud platform services and offerings (AWS, Azure, or GCP)
Understanding of GIS concepts

Responsibilities

Contribute to the deployment of flexible and secure AI web service applications using Java/JavaEE and Python/FastAPI
Design, architect, develop and test software features/products to meet customer requirements with considerations for fault tolerance, concurrency, and other non-functional requirements
Participate and lead in automated testing efforts to ensure consistency, performance, and quality
Assist in troubleshooting performance, observability, infrastructure, deployments, and scaling
Design and maintain DevOps pipelines to support continuous integration and deployment across cloud and on-premises environments
Collaborate closely with product engineers, AI developers, and DevOps teams to understand evolving requirements
Participate in code and architecture reviews and contribute to technical documentation