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The Most In-Demand Tech Skills in Remote Developer Jobs (2026 Data)

We counted the technologies named in 13,500 remote developer jobs from the last 30 days. Python, cloud and AI lead; here is what that means for your stack.

By Daud Samim · · 9 min read

Every job search starts with a guess about what employers want. This one starts with data. We looked at the 13,534 remote software jobs CareerHawk collected between 26 September and 26 October 2026, and counted how many of them name each technology in their title or description.

The headline: Python appears in 44% of remote developer jobs, cloud platforms dominate the infrastructure side, and roles mentioning LLMs or generative AI now make up almost a quarter of the market.

How we counted

A few notes before the numbers, so you know what they can and can’t tell you:

  • The sample. These are remote roles CareerHawk gathered from company career pages and job boards over 30 days, with a full description. CareerHawk collects software and technical roles, so this is a picture of the remote tech market, not every job on the internet.
  • One job, many technologies. A job counts once for each technology it mentions. A posting asking for Python, AWS and Kubernetes adds one to each, so percentages add up to far more than 100%.
  • Mentions, not requirements. “Nice to have: Rust” counts the same as “5+ years of Rust”. Treat these figures as how often a skill comes up, not how often it is mandatory.
  • What we left out. Go is genuinely popular, but “go” is also one of the most common words in English, so any count is either far too high or far too low. We didn’t publish one.

Two-thirds of the jobs (66%) were open to candidates in North America and one-third (34%) to Europe, the Middle East and Africa.

The full table

Technology Share of remote jobs Jobs
Python 43.9% 5,948
AWS 27.7% 3,746
LLMs / generative AI 23.5% 3,178
TypeScript 19.8% 2,677
Kubernetes 18.4% 2,488
Java 18.1% 2,451
Azure 17.9% 2,418
Google Cloud 15.9% 2,147
React 15.8% 2,144
JavaScript 15.8% 2,144
Docker 13.3% 1,794
Terraform 12.0% 1,629
PostgreSQL 10.7% 1,451
Node.js 10.6% 1,440
C# / .NET 9.5% 1,282
Kafka 5.8% 783
Angular 5.3% 712
Rust 4.2% 571
Kotlin 4.2% 564
PyTorch 4.2% 562
GraphQL 3.9% 530
Vue 3.9% 528
Redis 3.5% 477
MongoDB 3.3% 446
Ruby / Rails 2.9% 390
Next.js 2.6% 348
FastAPI 2.6% 346
PHP 1.8% 248
React Native 1.8% 237
Django 1.6% 213
Laravel 0.6% 77

What stands out

Python is the closest thing to a universal language

Python shows up in almost half of all remote tech jobs, more than twice as often as any front-end technology. That isn’t because there are twice as many Python web developers. Python is the shared language of back-end services, data engineering, machine learning, DevOps automation and testing, so it appears in job descriptions for all of them.

If you already know Python, the practical question is which Python market you’re in. A Django developer and a PyTorch researcher share a language and almost nothing else. Notice that Django (1.6%) and FastAPI (2.6%) are each named in only a few hundred jobs, while Python itself is in nearly six thousand. Most Python roles describe the problem domain, such as data pipelines or ML platforms, rather than a web framework. See our page on remote Python jobs for how those sub-markets differ.

AI went from niche to a quarter of the market

Jobs mentioning LLMs or generative AI now account for 23.5% of the sample, ahead of TypeScript, Java and Kubernetes. Some of these are dedicated AI engineering roles. Many more are ordinary product or platform roles that now list “experience building with LLMs” as a plus.

You don’t need a research background to benefit. Shipping one real feature that calls a language model, with retrieval, evaluation and cost limits handled properly, is enough to make that line on a job description work for you rather than against you.

Cloud and infrastructure skills are everywhere

AWS (27.7%) is the single most-mentioned technology after Python, and Azure (17.9%) and Google Cloud (15.9%) aren’t far behind. Add Kubernetes (18.4%), Docker (13.3%) and Terraform (12.0%), and it’s clear that remote employers expect developers to understand where their code runs.

For application developers, this is the cheapest upgrade available. You don’t need to be a platform engineer. Being able to say you containerised a service, deployed it to one cloud and managed it with infrastructure as code moves you up a lot of shortlists.

The front end is TypeScript first

TypeScript (19.8%) is now named more often than JavaScript (15.8%) in remote job descriptions. For React developers, the message is simple: TypeScript is the default, not a bonus. React itself sits at 15.8%, with Angular (5.3%) and Vue (3.9%) well behind.

Next.js appears in only 2.6% of postings, which surprises people given how popular it is. The likely reason: job descriptions name React and leave the framework implied. If you’re a React developer, list Next.js on your résumé, but don’t expect it to be the keyword that gets you found.

Back-end JavaScript and the classic stacks

Node.js (10.6%) and PostgreSQL (10.7%) appear in almost exactly the same share of jobs, and they often appear together. MongoDB (3.3%) is far less common in remote postings than its popularity in tutorials suggests. If you’re coming from a MERN background, adding PostgreSQL is one of the highest-value moves you can make. More on that in remote Node.js jobs.

Java (18.1%) and C#/.NET (9.5%) remain large, steady markets, especially in enterprise and fintech. PHP (1.8%) and Laravel (0.6%) are small in remote listings, although they remain common in agency and freelance work that doesn’t always appear on job boards.

What to do with this

  1. Don’t chase the top of the table blindly. A strong React and Node.js developer competes for a different pool of jobs than a Python data engineer. The question is which adjacent skills would widen your pool.
  2. Add one infrastructure skill. Docker plus one cloud covers a large share of postings across every stack.
  3. Ship something with an LLM. It is now relevant to almost a quarter of remote tech jobs, whatever your main language is.
  4. List your full stack honestly. Job matching, by recruiters and by tools like CareerHawk, works on the technologies you name. A skill you use but don’t mention is a skill nobody can match you on.

Track demand for your own stack

The numbers above are a snapshot. CareerHawk’s home screen shows the same thing for your stack, every week: how many jobs matched you in the last seven days, how many arrived today, and which of your technologies employers mentioned most. Pick your stack in the app, no account needed, and you’ll see where your market is heading in real time.

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