Junior Cloud Engineer

Job Overview

Responsibilities:

• Build and maintain secure, automated DevSecOps pipelines for CI/CD.
• Lead containerized solution deployments across hybrid and cloud (AWS) environments.
• Implement and optimize geospatial data processing and API integrations.
• Troubleshoot, debug, and improve system performance.
• Contribute to system architecture discussions and recommend improvements.
• Provide input on deliverables, schedules, and performance metrics.
• Participate in rapid prototyping to quickly iterate and improve solutions
• Utilize modern technology stacks to meet client needs
• Implement CI/CD pipelines using GitLab
• Collaborate with cross-functional teams to deliver high-quality software solutions

Key Technologies

• Linux
• Java, JavaScript, Python
• Containerization (Docker, OpenShift, Kubernetes, ...)
• AWS Services
• GitLab
• Apache Spark, Glue, and other ETL processes/procedures
• Data Types: Structured and Unstructured, Parquet, JSON, XML, etc.

Required Qualifications

• Active TS/SCI clearance (eligible for CI Poly).
• 0-3 years software development experience.
• Experience in Java, JavaScript, and Python.
• Experience with DevSecOps pipelines, Agile methodologies, and CI/CD tools (e.g., GitLab).
• Hands-on experience with AWS services (Lambda, ECS, S3, RDS, etc.).
• Skilled in containerization technologies (Docker, Kubernetes, OpenShift).
• Experience with geospatial data frameworks and APIs (e.g., GeoServer, PostGIS, ArcGIS).
• Using GitLab for code source repository and using GitLab CI/CD
• Developing customized code, scripts, modules, macro procedures, or libraries for specialized spatial analysis functions using languages such as Python, Java, JavaScript, PHP, C, C++, C#, Perl, or similar

Desired Qualifications

• Experience with government and/or commercial imagery products, including SAR or related RADAR imaging technologies
• Developing geospatial information systems (GIS) and working with open-source and proprietary geospatial formats
• Using and developing common geospatial tools, data, and operating platforms such as:
• Tools: Boundless Spatial suite, Remote View, PostGRES/PostGIS, Oracle Spatial, ArcGIS Desktop, ArcGIS Server, Image Server, File Geodatabases
• Data Formats: KML, KMZ, NITF, TIFF, JPEG, GeoPDF, and similar geo-related formats and data structures
• Abstracting new or legacy systems via standards-based APIs, including Open Geospatial Consortium standards
• Developing terrain analysis visualization and algorithms
• Developing automated detection algorithms
• Experience with Argo Workflows