Position Overview:
As a Backend Engineer, you will be responsible for developing and maintaining the backend infrastructure of the geospatial software solutions. You will work with Geospatial SDKs and APIs, ensuring seamless integration and functionality. Your expertise in ArcGIS, open-source geospatial engineering, Python development, and cloud-based solutions will be crucial in delivering scalable and efficient services.
Key Responsibilities:
● Develop and maintain backend services for geospatial applications using Python or similar.
● Integrate GIS SDKs and APIs, with a strong emphasis on ArcGIS.
● Implement and manage database solutions, preferably using PostgreSQL/PostGIS.
● Collaborate with front-end / mobile developers, data scientists, and other stakeholders to deliver high-quality geospatial solutions.
● Ensure the performance, quality, and responsiveness of applications.
● Write clean, maintainable, and efficient code.
● Troubleshoot and debug complex issues related to backend services and databases.
● Stay updated with the latest industry trends and technologies to ensure our solutions remain cutting-edge.
Qualifications :
● Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
● Proven experience as a Backend Engineer with a focus on geospatial applications.
● Strong proficiency in Python and experience with GIS SDKs and APIs.
● In-depth knowledge of ArcGIS and its integration into software solutions.
● Experience with open-source geospatial engineering tools and frameworks.
● Hands-on experience with AWS and cloud-based services.
● Expertise in designing and developing scalable microservices for geoprocessing.
● Solid experience with database design and development, particularly PostGIS / PostgreSQL.
● Experience designing and developing both RESTful and GraphQL APIs.
● Strong problem-solving skills and attention to detail.
● Exceptional communication and collaboration skills.
Preferred (Nice to have) Qualifications:
● Design, develop, and optimize cloud-based scalable microservices for geoprocessing on AWS.
● Design and develop both RESTful and GraphQL APIs to support frontend and mobile applications.
● Experience in the energy sector, specifically Oil & Gas.
● Familiarity with other programming languages and technologies related to geospatial software development.
● Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
