Software Engineer - TS/SCI with Polygraph
About The Position
GDIT is hiring a Software Engineer Senior to develop and operate mission-critical capabilities supporting the Intelligence Community and national security. The role focuses on building distributed, event-driven software and orchestrating AI/ML workflows across containerized services and cloud environments. The engineer will design event-driven applications using message queues and streaming platforms; build Python microservices for Kubernetes; integrate cloud storage, compute orchestration, and serverless services; and coordinate multi-step AI/ML pipelines. The role also involves working with relational and NoSQL databases, developing RESTful APIs or gRPC services, writing production-quality Python, troubleshooting distributed systems, and implementing observability and operational controls. The position works collaboratively with Agile/Scrum delivery teams in a hybrid environment.
Requirements
- Bachelor of Arts or Bachelor of Science.
- At least 5 years of related experience.
- Demonstrable relevant technical experience.
- Must currently possess or be able to obtain a Top Secret SCI clearance with polygraph.
- U.S. citizenship required.
- Ability to work collaboratively with Agile/Scrum delivery teams in hybrid environments.
- Relevant skills include design, message queuing, microservices architecture, RESTful APIs, and software solutions.
Responsibilities
- Design and develop event-driven applications using message queues and streaming platforms such as Kafka, RabbitMQ, or SQS to orchestrate distributed AI/ML workflows.
- Build Python microservices for Kubernetes, including writing Dockerfiles, managing dependencies, and optimizing container images.
- Develop integrations with cloud services for storage, compute orchestration, and serverless functions, such as AWS S3, Lambda, and Step Functions, or equivalent GCP/Azure services.
- Implement dynamic workflow orchestration and state management for multi-step AI/ML pipelines across containerized services.
- Work with relational and NoSQL data stores, including query optimization, schema design, and connection pooling.
- Build and maintain RESTful APIs and/or gRPC services with error handling, authentication, and rate limiting.
- Write production-quality Python code using best practices for testing, logging, error handling, and performance optimization.
- Debug and troubleshoot distributed systems in production Kubernetes environments using observability tools to trace requests and identify bottlenecks.
- Collaborate with platform engineers on deployment strategies, resource requirements, health checks, and scaling configurations.
- Implement monitoring, alerting, and structured logging to support operational visibility and incident response.
Benefits
- Medical plan options, including plans with Health Savings Accounts.
- Dental and vision plan options.
- 401(k) plan with company match.
- Paid time off, including vacation, sick and personal time, holidays, and paid parental, military, bereavement, and jury duty leave.
- Short- and long-term disability benefits, life insurance, and other insurance offerings.
- Wellness packages.
- Full flexible work weeks where possible.
- Internal mobility support and an AI-powered career tool for career steps and learning opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
