JavaScala Software Development Engineer II Raster and Imagery

Overview

In this position you will develop data management functionality on the server side in Java/Scala technologies. You will be part of Esri's Raster / Imagery team working on the development of Reality Server and its Project Management REST API which manages information including missions flight plans and drone fleets within ArcGIS Enterprise and ArcGIS Online. You will be interacting with various developers and Product engineers within the Raster team to build the features and functionality to generate various reality products on the Reality Server. Join us and be part of a culture that encourages professional growth in a challenging yet fun work environment.

Responsibilities

• Work on a Java Web application that manages reality project information in PostgreSQL database and provides a REST API.
• Implement tools that support data management of reality products on the Reality Server.
• Research, design, author, test, debug, and profile source code.
• Build software components that follow industry-standard modern design patterns, development methodologies, and deployment models.
• Interact with other team members to develop robust software frameworks and solutions.

Requirements

• 2 years of programming experience with relational database applications, data structures, and algorithms in Scala or Java.
• Experience with Enterprise Database systems like PostgreSQL or SQL Server.
• Must be experienced with developing and debugging RESTful APIs.
• Background in OO design and development and functional programming.
• Excellent written and verbal communication skills.
• Bachelor's in computer science or related field.

Recommended Qualifications

• Experience with cloud systems like AWS or Azure.
• Familiarity with spatiotemporal data concepts and techniques (STAC).
• Previous involvement in a large software development project.
• Academic training in GIS and/or knowledge of GIS/Esri software.
• Knowledge of distributed computing architectures and microservices architectures like Kubernetes.