Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Python
FastAPI
Go Lang (Gin/Fiber)
Lambda
GCP
REST/g RPC APIs
Docker
Kubernetes.
Job Details
Support the modernization and data platform initiatives under the Federal Aviation Administration s enterprise programs. The developer will design, build, and maintain scalable APIs, microservices, and data processing pipelines using Python and GoLang within a secure, cloud-native environment.
Key Responsibilities
- Develop and maintain backend microservices using Python (FastAPI/Flask) and GoLang (Gin/Fiber).
- Implement RESTful and gRPC APIs integrated with FAA enterprise systems.
- Build and optimize ETL workflows for large-scale data ingestion and transformation.
- Integrate with AWS or Azure GovCloud services (Lambda, ECS/EKS, S3, RDS, Aurora, API Gateway, Step Functions).
- Implement CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI aligned with FAA DevSecOps standards.
- Collaborate with FAA data engineers, analysts, and security teams to ensure FISMA/FedRAMP compliance.
- Optimize application performance, concurrency handling, and low-latency data processing.
- Write and maintain unit/integration tests; ensure code coverage and quality metrics.
- Participate in Agile ceremonies (sprint planning, retrospectives, demos) and contribute to technical documentation.
Required Skills
- Strong proficiency in Python and GoLang
- Experience with REST/gRPC APIs, Docker, and Kubernetes.
- Familiarity with PostgreSQL, Redis, Kafka, or RabbitMQ.
- Hands-on with JSON/YAML schemas, OpenAPI, and Swagger documentation.
- Working knowledge of AWS GovCloud or Azure Government environments.
- Understanding of secure coding practices and DevSecOps pipelines.
- Strong debugging, profiling, and performance optimization skills.
Preferred Skills
- Experience with FAA systems, aviation data, or federal modernization projects.
- Familiarity with Terraform, CloudFormation, or Ansible for IaC.
- Knowledge of CI/CD, DORA metrics, and Value Stream Management principles.
- Exposure to graph databases, event-driven architectures, or message queues.
- Federal clearance eligibility or Public Trust suitability preferred.
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