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Full stack Python Developer

Posted 9 days ago

saxon globalCharlotte (NC)

SENIORITY

Senior

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About the role

Python Backend Developer Seeking experienced Python Backend Developers to support the design and implementation of a centralized Security Hub platform within the Data Private Cloud (DPC). This role will focus on building scalable backend services, real-time data processing pipelines, and security-focused workflows that enable unified governance, compliance monitoring, and vulnerability management across a large-scale enterprise environment.
Key Responsibilities:
  • Design and develop backend services and APIs to support ingestion, processing, and management of real-time security events
  • Build scalable, high-performance systems capable of handling structured, semi-structured, and unstructured data at enterprise scale
  • Contribute to development of security workflows, notification systems, and automation frameworks for vulnerability management and compliance tracking
  • Collaborate with cross-functional teams including data engineers, UI developers, and platform engineers to deliver end-to-end solutions
  • Support integration with existing enterprise data pipelines, observability tools, and security systems
Required Qualifications: (Must-Haves) Strong Python backend development experience, including hands-on work with Python 3 and modern frameworks such as FastAPI or similar API frameworks Experience building and operating large-scale, real-time data processing systems, including handling high-volume event streams and distributed architectures Proficiency working with complex data types and pipelines, including structured, semi-structured, and unstructured data formats Strong system design and software engineering fundamentals, with the ability to design scalable, modular backend components Working knowledge of security concepts and data governance practices (e.g., access controls, audit logging, vulnerability workflows) with a focus on implementation rather than policy design
Preferred Qualifications:
  • Experience working in containerized environments (e.g., Kubernetes/OpenShift)
  • Familiarity with data platform tools or event streaming technologies
  • Exposure to AI-assisted workflows, automation, or agent-based systems

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