AI-Driven Backend Engineer for Cyber Security

Relha LLC; Virginia, Northern (IL, KY); Hybrid; USD 113,000 - 208,000; Full time

Job summary

Deloitte’s Government & Public Services (GPS) division seeks an experienced back-end developer to design, build, and maintain core components powering Cyber AI solutions. You will work on REST and GraphQL APIs, ensure code quality, and integrate with cloud infrastructure across platforms.

Ideal candidates have 3+ years of backend development with Node.js and Python, 2+ years in AI architecture, and 3+ years of cloud experience (AWS/Azure/GCP).

Qualifications

• 3+ years of back-end development with Node.js and Python (Django, Flask).
• Containerized microservices deployed on Google Cloud Run.
• 2+ years of AI architecture experience with generative AI models (OpenAI, Vertex AI, Hugging Face).
• Understanding of AI/ML concepts and frameworks (TensorFlow, PyTorch).
• 3+ years of cloud experience (AWS, Azure, GCP).
• 3+ years of Python experience.

Responsibilities

• Design, build, and maintain core portfolio components powering Cyber AI solutions.
• Create and support secure REST and GraphQL APIs for integration across platforms.
• Write clean, well-documented code; participate in code reviews to ensure quality.
• Integrate software components with cloud infrastructure and security tools.
• Contribute to framework development and evolution for Central Cyber Control and Active Cyber Defense.
• Collaborate with cloud admins, automation experts, and security engineers to deliver solutions.
• Stay up to date with new technologies; evaluate and implement best practices.

Skills

Backend development

Python

Node.js

Django/Flask

AI architecture

Cloud platforms

TensorFlow

PyTorch

Security+

Tools

Google Cloud Run

Jenkins

GitLab CI

Cloud Build

Git

JUnit

PyTest

Job description

Deloitte’s Government & Public Services (GPS) division seeks an experienced back-end developer to design, build, and maintain core components powering Cyber AI solutions. You will work on REST and GraphQL APIs, ensure code quality, and integrate with cloud infrastructure across platforms.

Ideal candidates have 3+ years of backend development with Node.js and Python, 2+ years in AI architecture, and 3+ years of cloud experience (AWS/Azure/GCP).