AI engineering, cloud security and data platforms top the list. What hiring managers are prioritizing — and what candidates should learn next.
Technology hiring has shifted from broad generalists to professionals who combine deep platform knowledge with business context. Across our client engagements, a handful of skill areas consistently draw the most demand.
AI and ML engineering
Companies have moved past experimentation. They now need engineers who can take models into production — building retrieval pipelines, evaluation frameworks and guardrails that make AI dependable.
Cloud security and identity
As infrastructure spreads across multiple clouds, security engineers with identity, zero-trust and compliance automation experience are among the hardest roles to fill.
Modern data platforms
Data engineers fluent in lakehouse architectures, streaming and governance are essential for every analytics and AI initiative.
What it means for you
For employers, it means starting searches earlier and being clear about must-have versus trainable skills. For candidates, it means pairing certifications with real project outcomes you can talk about.
Have a role to fill?
Talk to a Reddington recruiter today.