Here are 10 key terms related to backend engineering, covering essential skills, tools, and work methodologies:
Node.js / Python / Java / Ruby / PHP – Common backend programming languages used to build server-side applications.
Database – Includes SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Redis) for data storage, management, and optimization.
REST API / GraphQL – Designing and implementing server-side APIs to support frontend data requests.
Authentication & Authorization – Technologies like OAuth, JWT, and session management to ensure user security and data protection.
Docker / Kubernetes – Containerization and orchestration tools for application deployment and resource management.
Cloud Services – Platforms like AWS, Google Cloud, and Microsoft Azure for cloud-based application hosting and operations.
Microservices – Architectural style for designing modular and independently deployable services.
Message Queues – Tools like RabbitMQ and Kafka for asynchronous communication in distributed systems.
Version Control – Systems like Git/GitHub for code management and team collaboration.
Performance Optimization – Techniques for improving server and database performance to enhance system efficiency.
These key concepts form the foundation of a backend engineer’s work and career growth. By continuously gaining experience and developing projects, one can become a more proficient software engineer.