Cyber Full-stack Technical Software Engineer

Full-Stack Technical Software Engineer role focused on building and deploying AI/Generative AI/Agentic AI solutions and architectures in enterprise applications on cloud platforms (AWS, Azure, GCP). Requires experience in full-stack development, object-oriented programming, REST APIs, databases, and cloud deployment, with a preference for hands-on experience with frontier GenAI platforms and tool use.

What you'd actually do

  1. Working closely with business, solution engineers, team members and leadership to understand business requirements and deliver high quality technical solutions
  2. Analyzing, implementing user requirements/business needs as new and/or enhanced product functionality
  3. Identifying key drivers of a problem and proposes technical solutions using analysis, experience, and decision making
  4. Developing solutions to client problems through application of methods and tools; validating solutions to SMEs
  5. Understanding the benefits of using state of the art methods and tools and their application on a particular engagement contributes to continuous development of methods and tools

Skills

Required

  • full stack software development
  • AI, Generative AI, or Agentic AI solutions and architectures
  • AWS, Azure, or GCP
  • Java, Python, or JavaScript/TypeScript
  • Angular, React, or Next.js
  • JavaScript, TypeScript, HTML5, and CSS3
  • Node.js, Python (Django or Flask), or Java (Spring Boot)
  • REST APIs and microservices
  • MySQL, PostgreSQL, SQL Server, or Oracle
  • MongoDB, Redis, Cassandra, or DynamoDB
  • Git
  • Azure DevOps
  • JUnit, Mockito, or equivalent
  • automated testing and CI/CD pipeline implementation
  • Agile/Scrum delivery environments
  • Cloud certification in AWS, Azure, or GCP
  • Bachelor’s degree in computer science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a related field

Nice to have

  • Docker, container-based application development, and serverless architectures
  • secure development practices or cybersecurity-focused application development
  • Anthropic, Google or Open AI
  • Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI Agent Builder

What the JD emphasized

  • Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or Agentic AI solutions and architectures in enterprise applications on AWS, Azure, or GCP
  • Hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • tool use

Other signals

  • building and deploying GenAI/LLM-powered solutions
  • experience with Anthropic, Google or Open AI
  • tool use