AI
Software Engineer - Geospatial & AWS
Accepting applicationsaqua IT · Herndon, VA
Full-Time Mid_senior Pythonaiaterf
Posted
18 May
Category
Test
Experience
Mid_senior
Country
United States
* 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
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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
Show more Show less