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Senior level and niche USA geospatial requirement reduce applicant density despite being remote.
Strong geospatial and backend expertise requirements limit transferability across industries.
Explicit 8+ years plus mandatory FastAPI, AWS, Airflow, USA geospatial and leadership make filters stringent.
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Own the backend development using Python and FastAPI with focus on scalable REST APIs.
Design and lead the architecture of scalable backend systems leveraging AWS services like S3, EC2, EMR, ECS, and Lambda.
Lead engineering team with mentorship responsibilities, ensuring robust geospatial data handling and pipeline management.
8+ years of experience in software engineering roles.
Strong hands-on skills in Python backend development and REST API creation using FastAPI.
Mandatory experience with AWS services such as S3, EC2, EMR, ECS, and Lambda.
Proven expertise in GIS and Geospatial data handling with mandatory experience in USA Geospatial Data.
Experienced in designing and operating scalable backend architectures in cloud environments, especially AWS.
Proficient in managing data pipelines and ETL workflows using Airflow and SQL for geospatial data contexts.
Demonstrated leadership in engineering teams, effectively mentoring and guiding technical staff in complex backend and geospatial domains.