Cloud Job Market Trends

Every month we send out a newsletter with the latest trends.

OpenTofu

30-60
Employers
+156%
Growth

An open-source alternative to Terraform, designed for infrastructure as code, enabling users to manage and provision cloud resources.

Python Architect

20-40
Employers
+66%
Growth

Designs and implements large-scale systems and applications using the Python programming language. Ensures architectural coherence and optimal performance of Python-based software solutions.

GreenOps

12-24
Employers
+60%
Growth

A management practice focused on integrating environmental sustainability into IT operations and cloud services. It aims to reduce carbon footprints and increase energy efficiency in digital infrastructures.

Supabase

70-140
Employers
+55%
Growth

An open-source backend-as-a-service platform that provides real-time APIs, authentication, and database management for web and mobile applications. It offers features like instant RESTful APIs, real-time subscriptions, and managed PostgreSQL databases, making it easy for developers to build and scale applications quickly.

AI Data Platform

30-60
Employers
+35%
Growth

A platform that provides tools and infrastructure for managing and analyzing data for artificial intelligence applications.

AWS Specialist

12-24
Employers
+32%
Growth

An expert in designing, deploying, and managing applications on Amazon Web Services. They ensure scalable, efficient, and cost-effective cloud solutions for businesses.

Firestore

150-300
Employers
+31%
Growth

A NoSQL document database built for automatic scaling, high performance, and ease of application development, provided by Google Cloud.

Azure AI

300-600
Employers
+29%
Growth

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.

Data Lakehouse

250-500
Employers
+25%
Growth

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.