Principal Software Engineer - Cloud Data & OpenSearch

General Dynamics Information Technology; Chantilly (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

AI-powered career tool

Internal mobility team

Comprehensive benefits

Military-friendly workplace

Job summary

General Dynamics Information Technology in Chantilly, VA is seeking a Software Engineer Principal to design, develop, test, and deploy cloud-based software for mission-critical government projects. You will lead hands-on development across data platforms, big data analytics, and OpenSearch, working in an agile, cross-functional team.

You’ll own the OpenSearch data layer architecture, implement scalable ingestion pipelines in AWS, and mentor peers while maintaining documentation and applying best

Qualifications

• Bachelor's degree or equivalent combination of education, training, and experience.
• Minimum 2+ years of related engineering experience.
• Must have TS/SCI with Polygraph security clearance.
• U.S. citizenship required.
• Hands-on experience with Python, REST APIs, and OpenSearch/Elasticsearch.

Responsibilities

• Design, develop, test, and debug cloud-based software tools for mission-critical environments.
• Build and deploy AWS-based data ingestion pipelines using S3, EC2, and IAM.
• Collaborate with data scientists, analysts, and engineers to implement scalable solutions.
• Own OpenSearch data layer architecture and indexing strategies.
• Maintain documentation and support production systems.

Skills

Python

Git

OpenSearch

Elasticsearch

AWS CDK

Terraform

REST APIs

Unit testing

Education

Bachelor's degree

Tools

AWS CDK

Terraform

Job description

General Dynamics Information Technology in Chantilly, VA is seeking a Software Engineer Principal to design, develop, test, and deploy cloud-based software for mission-critical government projects. You will lead hands-on development across data platforms, big data analytics, and OpenSearch, working in an agile, cross-functional team.

You’ll own the OpenSearch data layer architecture, implement scalable ingestion pipelines in AWS, and mentor peers while maintaining documentation and applying best