Cloud Job Market Trends

A platform offering AI services and tools for building, deploying, and managing AI solutions in the cloud. It enables developers and data scientists to leverage pre-built models and APIs to enhance applications with machine learning capabilities.

A data architecture combining features of data lakes and data warehouses to support both analytical and transactional workloads. Allows for efficient multi-modal data processing and storage with unified governance.

A comprehensive platform by Google Cloud for developing, training, and deploying machine learning models.

An open-source search and analytics suite derived from Elasticsearch, providing search, logging, and analytics capabilities.

A platform developed by Google for building mobile and web applications, providing tools for authentication, databases, analytics, and more.

Role focused on designing and implementing data solutions using Azure cloud services. Key responsibilities include managing data pipelines, ensuring data integrity, and optimizing performance.

Responsible for designing, developing, and managing cloud-based applications and services. Plays a key role in ensuring scalable, efficient, and reliable cloud infrastructure solutions.

A continuous integration and delivery platform that automates software build, test, and deployment processes. It supports rapid release cycles by streamlining development workflows and improving collaboration among teams.

A service from Amazon Web Services for monitoring and observability of applications. It collects and provides actionable insights to help optimize system performance and resource utilization.