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Kubernetes roles paying over 00k across 150 employers

150 employer boards asked for engineer roles, kept when the posting names Kubernetes and states a salary at or above 00,000 a year annualised in USD.

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Career Page Scraper & ATS Jobs API — 17 ATS Platforms, No Proxy
Career Page Scraper & ATS Jobs API — 17 ATS Platforms, No Proxyspool/career-page-jobs-api
Title
Company
Location
Salary min
+7 fields
Text
Number
Boolean
List
Object

Input

2. Keep only roles matching (optional):engineer
4. Also search N well-known employers (needs keywords):150
Only roles mentioning these technologies:Kubernetes
Minimum salary (USD, annualised):200000

Output fields

Title
Company
Location
Salary min
Salary max
Salary currency
Salary interval
Salary min usd
Salary max usd
Salary source
Site

How it works

Sign up on Apify or log in

The Career Page Scraper & ATS Jobs API — 17 ATS Platforms, No Proxy Actor is ready to run with the inputs already set for "Kubernetes roles paying over 00k across 150 employers". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Kubernetes roles paying over 00k across 150 employers" task

The Career Page Scraper & ATS Jobs API — 17 ATS Platforms, No Proxy Actor will start running based on the input automatically. You can also change all the input fields, like 2. keep only roles matching (optional), 4. also search n well-known employers (needs keywords), and more, to match your specific use case.

Receive the "Kubernetes roles paying over 00k across 150 employers" 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 title, company, location, and more.

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 "Kubernetes roles paying over 00k across 150 employers" task via API.

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Connect "Kubernetes roles paying over 00k across 150 employers" with 100+ integrations, or run it via API or MCP.

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