We are looking for Lead Software Engineers with an active TS/SCI clearance to join our team at Prominent Edge. We are a small, stable, growing company that believes in doing things right. Our projects and the needs of our customers vary greatly; therefore, we always choose the approach and technology stack that best suits the particular problem and the goals of our customers. We, therefore, want engineers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate.

We've been a 100% remote company before it was cool to be remote. We hire the best talent and always strive to exceed expectations. We leverage best-of-breed open source technologies to provide our customers with innovative user-centric solutions. We invest in our company culture and make sure that we have fun. If this sounds like the type of environment in which you would thrive, and you qualify for the position below, please apply -- we’d love to hear from you! Visit our careers page (https://prominentedge.com/careers) to learn more, and visit our work page to get an idea of the type of work we do (https://prominentedge.com/work).

• US Citizen with active TS/SCI clearance

• Experience as a Full-Stack Software Engineer working in an Agile development environment

• Experience leading project teams through the full development life cycle, including requirements analysis, architecture, design, coding, testing, and delivery of solutions

• Front-end development skills using modern JavaScript frameworks, such as ReactJS/React Native, Angular, or VueBackend development skills using server-side frameworks, such as NodeJS/Express, Flask, Django, or SpringDatabase skills (e.g., Postgres/PostGIS, SQLite, MySQL, SQL Server, Elasticsearch, MongoDB, Redis, etc.)

• Excellent interpersonal and communication skills

• Self-motivated, results-oriented, and team player

• BS degree in Computer Science or related field, or equivalent work experience

• Open source geospatial technologies, such as Mapbox GL, GeoServer, etc.

• Data visualization using technologies such as Kibana, Tableau, D3, etc.

• Containerization and container orchestration, preferably using Docker and Kubernetes

• Cloud computing, especially using AWS services such as S3, RDS, SQS, EMR, or Kinesis Serverless approaches, preferably using AWS Lambda and Serverless Framework

• DevOps and Continuous Integration / Continuous Delivery (CI/CD), using technologies such as Jenkins or AWS CodeBuild3D web experience using technologies such as CesiumJS, WebGL, Unity, or Unreal

• Advanced technologies (machine learning, computer vision, image processing, data mining, data analytics), using tools such as TensorFlow, PyTorch, or Apache SparkScrum MasterAdvanced degree (MS or MBA)