cygnify - Senior Technology Innovation Engineer-Dubai, UAE
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Requirements
• ❖ Backend: C# / .NET / Python • ❖ Frontend: React / Next.js • ❖ Database: MSSQL, Postgres, Elasticsearch, MongoDB • ❖ Cloud: Azure or Google • ❖ Dev Tools: Git, CI/CD pipelines, Docker, Terraform, Ansible • ❖ ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code • ❖ 6+ years of professional software engineering experience • ❖ Expertise with C# and .NET Core, including building APIs and backend systems • ❖ Proficiency in React and/or Next.js for modern frontend development • ❖ Experience working with cloud services (Azure, AWS, or GCP) • ❖ Strong communication and client management skills; comfortable owning technical delivery in client settings • ❖ A passion for learning and working with emerging technologies • ❖ Ability to work independently in fast-paced, dynamic environments • ❖ Knowledge on how to integrate AI agentic development workflows to strong engineering practices • ❖ Prior consulting, agency, or client-facing experience • ❖ Experience designing cloud-native architectures and using infrastructure-as-code tools • ❖ Open-source contributions or published technical content • ❖ Familiarity with data science workflows or machine learning integration • ❖ Curiosity and action: You take initiative and explore new ideas • ❖ Empathy and clarity: You're a strong communicator and collaborator • ❖ Delivery and impact: You're focused on outcomes, not just outputs • ❖ Passion and adaptability: You bring energy, depth, and flexibility to your work
Responsibilities
• ❖ Architect and build scalable, innovative software solutions; internally and for clients • ❖ Lead engagements with clients, acting as both a trusted advisor and technical owner • ❖ Rapidly prototype, iterate, and validate solutions using modern technologies • ❖ Balance short-term deliverables with long-term vision for scalable systems • ❖ Work across cross-functional teams to align product goals, timelines, and execution • ❖ Mentor junior engineers and contribute to growing a culture of technical excellence • ❖ Evaluate new technologies to be implemented at scale for citizen impact • ❖ Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality • ❖ Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery
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