Jobs and Careers
AB
Senior Full Stack Developer
abraUnited Statesfull_timeVerifiedPosted 5 Aug 2026
About the role
Description
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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