AI & Advanced Technologies - Senior Software Engineer

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.