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Lead architecture, code-quality, and build environment for a cloud-native, event-driven system. Own design patterns, CI/CD, reproducible builds, and deliveries to government cloud. Guide and mentor engineers, conduct design reviews, ensure no-major-defect thresholds, and serve as technical liaison to SMEs and government leads.

Lead a team in developing R&D algorithms for GEOINT. Utilize Python for image processing, deploy solutions, and manage complex projects.

Design, build, and operate scalable ingestion, curation, and metadata-enrichment pipelines for enterprise data catalog and discovery. Ensure data quality, schema evolution, lineage, and cost-efficient large-scale processing; translate technical concepts for non-technical stakeholders and support downstream mission use.

The Senior AI/ML Engineer will develop and enhance AI/ML models using Python, specializing in OPIR domain expertise, with a focus on object identification and classification.

The Senior DevOps Engineer will automate deployments and manage complex workflows within cloud environments, particularly in DoD contexts, while ensuring security and compliance standards are met.