pprof Jobs

3 pprof jobs currently listed

Browse 3 open positions that require pprof experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.

By the numbers

  • 3 companies hiring
  • Mostly Mid roles
  • Often paired with Python, Linux, C++, Go
  • Top locations: London

Market insights

Grafana Labs is currently the most active employer hiring for pprof.

Seniority mix

  • Mid 33%
  • Senior 33%
  • Lead 33%

What you'll find here

Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.

Wayve 3 weeks ago
Hybrid

Engineering Manager, Runtime Platform, Robot Software

London, United Kingdom - English

C++ Linux
Tailscale 1 month ago
Remote

Customer Reliability Engineer

United Kingdom (Remote) - English

Go Python Linux macOS Windows +13
£90.850–113.760 /year
Grafana Labs 1 month ago
Remote

Senior Backend Engineer - Databases Pyroscope | Ireland | Remote

Ireland (Remote) - English

Go Rust C C++ Python +1
€104.000–124.800 /year

Frequently Asked Questions

How many pprof jobs are available right now?
There are currently 3 open positions that list pprof as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires pprof?
We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find pprof jobs that don't use a particular framework or language.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.