DevJobs

Senior Full Stack Developer

Overview
Skills
  • C# C#
  • Angular Angular
  • React React
  • .NET Core .NET Core
  • RESTful API RESTful API
  • Microservices Microservices
  • DevOps DevOps
  • CI/CD CI/CD
  • GCP GCP ꞏ 4y
  • Azure Azure ꞏ 4y
  • AWS AWS ꞏ 4y
  • Generative AI
  • Claude Code
  • Cursor
  • ChatGPT
  • Embeddings
  • GitHub Copilot
  • LLMs
  • NLP
  • RAG
  • Agents
abra is looking for a Senior Full Stack Developer to join a leading technology team and work on complex enterprise digital platforms in Web, Cloud, and AI environments.

Role Responsibilities:

  • Develop and lead the technical implementation of complex Full Stack systems from design through production.
  • Perform hands-on development across both Front-End and Back-End technologies.
  • Design and develop Microservices architectures, REST APIs, and system integrations.
  • Design and implement Cloud Native solutions, including CI/CD processes and collaboration with DevOps, infrastructure, and security teams.
  • Lead development processes, including Code Reviews, defining Best Practices, improving code quality, and providing technical guidance.
  • Develop and integrate Generative AI-based solutions into enterprise systems.

Requirements:

  • 7+ years of proven experience developing enterprise Web-based digital platforms.
  • 3+ years of experience in a technical leadership role such as Tech Lead, Developer Lead, or equivalent.
  • Proven experience leading the design and implementation of complex technology projects that reached production and are used by end users.
  • 4+ years of experience designing and implementing cloud solutions (AWS – significant advantage; Azure / GCP).
  • Strong hands-on Full Stack development experience:
  • Front-End: modern technologies such as React or Angular.
  • Back-End: C# / .NET Core.
  • Experience designing and developing Microservices-based architectures, REST APIs, and integrations between systems.
  • Experience leading development practices, including Code Reviews, defining development standards, and maintaining code quality.
  • Experience working with Agile / Scrum methodologies, including Backlog management, Sprint Planning, Estimation, and end-to-end Delivery.
  • Proven experience developing and implementing Generative AI solutions in production environments, including technologies such as LLMs, RAG, NLP, Agents, Embeddings, and enterprise system integrations.
  • Experience using AI-Assisted Development tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar tools.
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