Weekly Skills Pulse — April 10, 2026

Machine Learning dominates hiring activity this week, with demand reaching 47.8% across AI & Machine Learning roles — up 8.4 percentage points week-over-week. For the week of April 10, 2026, 6,111 new listings entered the market from 154 companies, bringing total active opportunities to 9,036, with DevOps & Infrastructure emerging as the most volatile category.

Key Movements This Week

• Kubernetes: 18.2% demand (down 29.1pp from last week) — This pullback in DevOps & Infrastructure suggests employers are reducing emphasis on this skill.
• AWS: 32.6% demand (down 28.3pp from last week) — A sizable decline in Security may point to stack consolidation or tooling shifts.
• Terraform: 18.6% demand (down 26.0pp from last week) — This pullback in DevOps & Infrastructure suggests employers are reducing emphasis on this skill.
• Stakeholder Mgmt: 20.3% demand (down 20.7pp from last week) — A sizable decline in Security may point to stack consolidation or tooling shifts.
• AWS: 27.3% demand (down 19.3pp from last week) — A sizable decline in DevOps & Infrastructure may point to stack consolidation or tooling shifts.
• Python: 20.5% demand (down 19.3pp from last week) — This pullback in Security suggests employers are reducing emphasis on this skill.
• Node.js: 12.7% demand (down 18.4pp from last week) — This pullback in Security suggests employers are reducing emphasis on this skill.
• Excel: 13.7% demand (down 18.2pp from last week) — A sizable decline in AI & Machine Learning may point to stack consolidation or tooling shifts.

Category Spotlight: DevOps & Infrastructure

1. AWS — 27.3% (↓ 19.3pp)
2. CI/CD — 20.3% (↓ 15.5pp)
3. Scala — 19.3% (↓ 9.8pp)
4. Azure — 18.9% (↓ 6.8pp)
5. Terraform — 18.6% (↓ 26.0pp)
6. Kubernetes — 18.2% (↓ 29.1pp)
7. Docker — 14.6% (↓ 13.1pp)
8. Python — 11.5% (↓ 8.8pp)
9. Excel — 11.4% (↓ 17.7pp)
10. GCP — 10.5% (↓ 12.5pp)

Rising Signals

Skills with the strongest upward momentum across all categories:

• Machine Learning +8.4 percentage points — now at 47.8% in AI & Machine Learning
• Scala +4.0 percentage points — now at 34.2% in Software Engineering
• C# +3.3 percentage points — now at 4.8% in Software Engineering
• React +3.0 percentage points — now at 16.9% in Software Engineering
• Microservices +3.0 percentage points — now at 3.0% in DevOps & Infrastructure

Declining

• Kubernetes -29.1 percentage points — down to 18.2% in DevOps & Infrastructure
• AWS -28.3 percentage points — down to 32.6% in Security
• Terraform -26.0 percentage points — down to 18.6% in DevOps & Infrastructure

What This Signals

Machine Learning demand surged 8.4 percentage points this week, making it the clearest signal for job seekers to prioritise ML credentials on applications and for hiring managers to expect a competitive candidate pool. DevOps & Infrastructure is the most volatile category — Kubernetes dropped 29.1pp and AWS fell 28.3pp — so infrastructure specialists should broaden their skill profiles rather than betting on cloud-ops roles alone this week. With 6,111 new listings entering a market of 9,036 active postings, hiring velocity is high, and Full Stack Developer remains the single largest opportunity with 3,199 listings available.

By the Numbers

• Total active listings: 9,036
• New listings this week: 6,111
• Most-hired role: Full Stack Developer (3199 listings)
• Top skill overall: Stakeholder Mgmt (57.8%)

Frequently Asked Questions

What tech skills are trending this week?

The fastest-rising skills this week are Machine Learning, Scala, C#. These showed the largest week-over-week demand increases across 9,036 active listings.

How many tech jobs were posted this week?

This week saw 6,111 new postings added, bringing the total active listings to 9,036 across 154 companies.

Which tech category has the most hiring activity?

DevOps & Infrastructure showed the most hiring activity this week, with the largest aggregate skill movement across all tracked categories.

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Data sourced from 154 company career pages via Greenhouse, Lever and Ashby APIs. Updated daily. About our data & methodology.