Adobe is looking for a Senior Software Engineer (Node.js) to join its engineering team in Yerevan. In this role, you will help build scalable, high-performance backend systems and cloud solutions that power world-class digital experiences used by millions of users globally.

You will participate in all stages of the software development lifecycle, collaborate with cross-functional engineering teams, contribute to architectural decisions, and drive improvements across Adobe's SaaS platform. This opportunity is ideal for engineers passionate about distributed systems, scalability, backend architecture, and modern cloud technologies.

• Participate in all stages of the Software Development Life Cycle (SDLC), including development, code reviews, testing, deployment, and documentation.
• Develop scalable backend features and services that support Adobe's digital experience platforms.
• Design and implement engineering solutions for complex large-scale distributed systems.
• Collaborate with engineering teams to define system architecture and optimize user experiences.
• Lead discussions around new technologies, tools, and engineering best practices.
• Contribute to the creation and evolution of technology roadmaps.
• Optimize applications for scalability, reliability, safety, and performance.
• Coordinate and integrate multiple services using distributed communication mechanisms.
• Debug and resolve complex issues in distributed and cloud-native environments.
• Ensure production systems maintain high availability and operational excellence.

• 5-7 years of professional software engineering experience.
• At least 3 years of recent hands-on experience with Node.js.
• Strong knowledge of database concepts including joins, constraints, stored procedures, triggers, and schema design.
• Strong understanding of object-oriented programming and system design principles.
• Experience owning the full SDLC, including architecture, implementation, deployment, and production support.
• Strong software optimization and performance analysis skills.
• Experience working with distributed systems and parallel processing techniques.
• Ability to debug and troubleshoot complex production issues.
• Experience with cloud and infrastructure technologies such as Docker, Kubernetes, NoSQL, Kafka, ElasticSearch, AWS, and GCP.
• Strong communication and collaboration skills.