Software Engineer - Geospatial & AWS

Software Engineer - Geospatial & AWS at aqua IT Software Engineer - Geospatial & AWS at aqua IT in Great Falls, Virginia Posted in about 3 hours ago.

Type:

full-time

Job Description:

•

THIS JOB REQUIRES AN ACTIVE TS/SCI CLEARANCE

• We are seeking several Software Engineers to support the development of scalable geospatial data processing and cloud-native systems supporting DoD and Intelligence Community programs. This role will involve designing and maintaining distributed data pipelines, geospatial processing workflows, streaming architectures, and cloud infrastructure supporting near real-time analytics and large-scale geospatial data environments. Candidates may support a mix of backend software engineering, geospatial data engineering, cloud infrastructure, streaming/data pipeline development, spatial database engineering, and geospatial algorithm development depending on team placement and technical strengths. Work will include development in AWS cloud-native environments using Python and Infrastructure-as-Code practices, while supporting highly scalable distributed systems and production-grade geospatial solutions.

Responsibilities:

Design, develop, and maintain scalable cloud-native software systems and data pipelines Support real-time data ingestion, processing, transformation, and analytics workflows Build and optimize geospatial processing solutions, spatial algorithms, and vector data workflows Develop and maintain distributed systems leveraging AWS services and streaming architectures such as Apache Kafka Design and optimize database solutions including PostgreSQL/PostGIS and cloud-native data services Implement Infrastructure-as-Code (IaC) solutions using AWS CDK and modern deployment strategies Support ETL/ELT workflows, API integrations, performance optimization, and operational monitoring Collaborate across engineering teams to troubleshoot production issues and improve system scalability and reliability

Required Qualifications:

Active TS/SCI Clearance 5+ years of software engineering experience in cloud-first or distributed environments Strong Python development experience Experience with AWS cloud-native services and Infrastructure-as-Code concepts Experience supporting distributed systems, data engineering, or backend application development Familiarity with cloud services such as Lambda, API Gateway, S3, RDS, DynamoDB, SQS, SNS, or EventBridge Experience with containerization technologies such as Docker, ECS, EKS, or Kubernetes Strong understanding of scalable system design, performance optimization, and troubleshooting

Desired Experience:

Apache Kafka or real-time streaming architectures Geospatial data processing, spatial algorithms, or vector data workflows PostgreSQL/PostGIS or geospatial database optimization ETL/ELT pipelines, analytics platforms, or data lake architectures AWS CDK and multi-environment deployment strategies Cloud-native geospatial application development and large-scale distributed processing environments