Software Development Engineer II - Data Management, ArcGIS Enterprise

About the role

Join our enterprise geodata management development team and help build the data management technologies that power server, desktop, and mobile applications. You'll work with a rich spatial information model that brings together features, relationships, networks, and topologies, while developing infrastructure for relational and NoSQL databases across Kubernetes, Linux, and Windows. This role offers the opportunity to tackle massive datasets, drive scalability, and support high availability and resilient disaster recovery across a diverse computational platform.

Responsibilities

• Work on building core data storage and management framework to support ArcGIS relational and NoSQL information models on‑premises or in the cloud
• Research and extend ArcGIS support for high volume and velocity data storage and analysis by taking advantage of NoSQL DBMS technology
• Build end-to-end software components (storage engines, services, APIs, and deployment artifacts) that follow industry-standard modern design patterns, development methodologies, and deployment models
• Develop complex software frameworks and solutions to help with a variety of environmental, logistics and governmental challenges faced by modern society

Requirements

• 2+ years of programming experience in Java or C++
• Familiarity with SQL
• Knowledge of relational database technologies such as Postgres, Oracle, SQL Server or SQLite
• Good understanding of RDBMS system concepts and willingness to learn new technologies in fast evolving database trends
• Desire and ability to research, design, author, test, debug, and profile source code
• Good written and verbal communication skills
• Bachelor's degree in computer science, engineering, or related field
• Recommended Qualifications
• Understanding of cloud platforms and services such as AWS S3, AWS RDS for PostgreSQL, Azure Blob Storage, and Azure Database for PostgreSQL
• Previous involvement in a large software development project
• Academic training in GIS and/or knowledge of GIS/Esri software
• Familiarity with Kubernetes, Docker, and/or cloud deployment technologies
• Master's degree in computer science, engineering, or related field
• #LI-TA1
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Company Intel

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