Responsibilities:

• Implement and maintain event driven pipelines for processing and analyzing large scale geospatial data sets.
• Troubleshoot & Debug issues related to geospatial data, system performance, and cloud infrastructure.
• Deploy and monitor machine learning models in cloud environments, using services like AWS SageMaker, AWS ECS Fargate, Amazon OpenSearch and Amazon RDS/Aurora.
• Proficient in Python, writing and reviewing code for enterprise applications.

Required Qualifications: 

• Familiarity with data and application models for NoSQL and relational databases.
• Geospatial development experience
• Machine Learning inference experience
• Understanding of Geospatial data formats (i.e., GeoJSON, NITF)
• Possess excellent problem solving skills and ability to work independently within a fast paced environment
• Mid to Senior level software developer
• Must be willing to work in SCIF daily or as needed, and on call to troubleshoot system outages should they occur

Desired Qualifications:

• Knowledgeable in building, deploying, and troubleshooting Containers
• Comfortable and knowledgeable with AWS services
• Adept in CloudFormation and Cloud Development Kit (CDK)
• Familiarity with version control, GitLab and CICD workflows are ideal.
• Experienced working in a collaborative environment using Git
• Understanding of webservers and API gateway integration
• Familiarity with Cloud monitoring tools

Bridge Core is proud to be an equal opportunity workplace and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all team members and applicants. At Bridge Core, we ensure fair treatment for our team members and applicants based on their abilities, achievements and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity or any other classification protected by law.