# Companies Hiring for Kubernetes Skills in Berlin

**Use case:** 

DevOps, platform, SRE and cloud engineering postings in Berlin from the last 30 days whose description mentions Kubernetes, agencies removed, shown by employer: company, website, industry, headcount and the named recruiter. A technology signal for DevOps tools, cloud consultancies and recruiters: these companies run or adopt Kubernetes now. Swap the word for SAP or Snowflake.

## Input

```json
{
  "titleSearch": [
    "devops engineer",
    "platform engineer",
    "site reliability engineer",
    "cloud engineer"
  ],
  "locationSearch": [
    "Berlin, Germany"
  ],
  "limit": 100,
  "previewOnly": false,
  "compact": false,
  "timeRange": "30d",
  "descriptionSearch": [
    "kubernetes"
  ],
  "removeAgency": true,
  "hasSalary": false,
  "salaryCurrency": "USD",
  "recruiterOnly": false,
  "status": "active",
  "recruiter": "card",
  "employerHiring": false,
  "decisionMakers": false,
  "decisionMakersPerCompany": 3,
  "descriptionType": "text"
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "companyName": {
    "label": "Company",
    "format": "string"
  },
  "companyDomain": {
    "label": "Website",
    "format": "string"
  },
  "companyIndustry": {
    "label": "Industry",
    "format": "string"
  },
  "companyEmployeeCount": {
    "label": "Employees",
    "format": "number"
  },
  "companyCountryCode": {
    "label": "Company country",
    "format": "string"
  },
  "companyUrl": {
    "label": "Company page",
    "format": "string"
  },
  "recruiterName": {
    "label": "Recruiter",
    "format": "string"
  },
  "recruiterHeadline": {
    "label": "Recruiter headline",
    "format": "string"
  },
  "recruiterUrl": {
    "label": "Recruiter profile",
    "format": "string"
  },
  "isOpen": {
    "label": "Open",
    "format": "boolean"
  },
  "validUntil": {
    "label": "Valid until",
    "format": "string"
  },
  "jobId": {
    "label": "Job id",
    "format": "number"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Jobs Database API — Advanced Search + Decision Makers Actor is ready to run with the inputs already set for "Companies Hiring for Kubernetes Skills in Berlin". [Sign up or log in](https://console.apify.com/create-task-from-example/yYwJUN3HVoiel7Prv) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Companies Hiring for Kubernetes Skills in Berlin" task

The LinkedIn Jobs Database API — Advanced Search + Decision Makers Actor will start running based on the input automatically. You can also change all the input fields, like title search, location search, and more, to match your specific use case.

### 3. Receive the "Companies Hiring for Kubernetes Skills in Berlin" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as job title, company, website, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Companies Hiring for Kubernetes Skills in Berlin" task via API](https://apify.com/b2bsearch/linkedin-job-search-api.md).

## FAQ

### How does the Kubernetes jobs task find companies using a technology?

The Kubernetes jobs task searches the text of each job description, so an employer shows up when it asks engineers for Kubernetes experience, a strong sign the stack is in use or being adopted.

### Why does the task name specific engineering titles?

A description search reads the posting texts first, at most 500 per request, so the Kubernetes jobs task narrows the titles to DevOps, platform, SRE and cloud engineers, the roles that ask for Kubernetes.

### Can I search for other technologies?

Replace kubernetes in Description search with any word or phrase, such as SAP, Snowflake or HubSpot, one per line. The Kubernetes jobs task keeps a posting when any line matches.

### How do I reach the decision makers at these companies?

Turn on Decision makers in the Kubernetes jobs task to add each employer's founders, C-level, VPs and directors as extra rows, and set Decision maker title keywords to engineering or technology.

## About this Actor

This example demonstrates how to use [LinkedIn Jobs Database API — Advanced Search + Decision Makers](https://apify.com/b2bsearch/linkedin-job-search-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/b2bsearch/linkedin-job-search-api.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/b2bsearch/linkedin-job-search-api.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).