AI & Advanced Technologies - Senior Software Engineer

Description Responsibilities Take full end-to-end ownership of features — from product thinking and design through development, testing, deployment, and post-production monitoring. Collaborate with cross-functional teams to design, develop, and deploy high-quality web applications and services. Champion and apply agentic development practices, leveraging AI-assisted tooling and automation to accelerate R&D velocity. Develop robust and scalable systems using Node.js,C#,React, TypeScript and related frameworks. Own the full DevOps lifecycle — CI/CD pipelines, containerization, release management, and production observability. Optimize web applications for performance, scalability, and security across both microservice and monolithic architectures. Write and maintain automated tests (unit, integration, end-to-end) to ensure code quality and reliability. Utilize version control systems, particularly Git, for code management and collaboration. Stay current with emerging technologies, AI tooling, and modern engineering trend Requirements Minimum of 5 years of proven experience in end-to-end web application development. Strong product mindset — ability to act independently across the full stack, from scoping and development to deployment and post-prod, without requiring close oversight. Strong proficiency in frontend technologies such as React (mainly), Vue.js, or Angular. Competence in E2E approach (Requirements<>Dev<>Testing<>Post production) Experience working with relational and NoSQL databases. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities in English. Hands-on experience with LLMs, AI agents, and AI-assisted development tooling (e.g., GitHub Copilot, Cursor, or custom agentic workflows). Experience with cloud platforms such as Google Cloud, AWS, or Azure. Knowledge of containerization technologies such as Docker and Kubernetes. Experience working in both microservices and monolithic architecture environments. Familiarity with observability tooling (logging, metrics, tracing). Understanding of agile software development methodologies.