iFlex

Full Stack .NET Developer W/ AI/Llm

iFlexContract
Remote
6 - 10 YearsApr 10th, 2026
53 ViewsBe an Early Applicant
Required Skillset:
AngularReactAzureDockerJenkinsKubernetesC#AWSGCPAzure DevOpsSQL ServerNoSQLGitHub Actions.NET

Job Description

  • and/or React
  • Lead development of rich, responsive front-end experiences, with a focus on Angular and modern UI architecture
  • Build and optimize scalable backend services, APIs, and data layers with a focus on performance and database scalability
  • Contribute to an AI-first engineering culture, leveraging AI-assisted development tools, intelligent test generation, and LLM-driven quality analysis
  • Architect and enhance automation frameworks, incorporating AI-powered capabilities such as self-healing tests and predictive failure analysis
  • Ensure high-quality code through unit, integration, API, UI, and performance testing strategies
  • Collaborate with cross-functional teams to define technical solutions aligned with business and product goals
  • Serve as a technical leader in design and architecture discussions, ensuring scalability, testability, and maintainability
  • Drive adoption of modern DevOps practices, including CI/CD pipelines and cloud-native deployment strategies
  • Evaluate and implement emerging tools, frameworks, and AI technologies to improve engineering efficiency and product quality
  • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
  • 8–12 years of software engineering experience with a strong focus on full stack development
  • Strong backend development experience with .NET / C#, including API and service-oriented architecture
  • Strong frontend experience with Angular (preferred) and/or React, with emphasis on UI performance and usability
  • Experience with database design and scaling (SQL Server, NoSQL, or similar technologies)
  • Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
  • Experience building and maintaining test automation frameworks across multiple layers
  • Familiarity with cloud platforms (Azure, AWS, or GCP) and containerization technologies (Docker, Kubernetes)
  • Experience integrating AI/ML tools into development workflows (e.g., AI-assisted coding, test generation, or LLM-based analysis)
  • Background in healthcare, pharmaceutical, or regulated environments
  • Experience leading or contributing to multiple high-impact engineering initiatives simultaneously
  • Strong understanding of modern software architecture patterns, microservices, and distributed systems

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