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Open nowPosted 203 days ago

MG DevOps/SysOps Enigneer

1dea17 open roles

Where
Warszawa
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Your applicationOpen nowMG DevOps/SysOps Enigneer1dea · Warszawa

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on 1dea's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 203 days ago

The posting

Cześć!

DevOps/SysOps Engineer poszukiwany!

Jest to stanowisko dla jednego z naszych klientów (zatrudnienie bezpośrednie) - firmy technologicznej działającej w sektorze ubezpieczeniowym, która rozwija autorską platformę do obsługi produktów ubezpieczeniowych. Rozwiązanie jest wykorzystywane przez klientów międzynarodowych (Europa, USA, Azja).

Tryb pracy: hybrydowy - 2 dni w tygodniu z biura w Warszawie, reszta zdalnie

Zaangażowanie: B2B, długoterminowe zatrudnienie

Doświadczenie:

  • Minimum 3 lata doświadczenia na stanowisku DevOps lub SysOps Engineer.
  • Co najmniej 2 lata praktyki w budowaniu i utrzymaniu rozwiązań CI/CD (np. Bamboo, GitHub Actions).

Technologie:

  • Bardzo dobra znajomość Kubernetes i Dockera.
  • Doświadczenie w pracy z IaC (Terraform i/lub SaltStack).
  • Praktyczna znajomość środowiska AWS.
  • Umiejętność automatyzacji zadań przy użyciu Bash lub innego języka skryptowego.

Narzędzia i metodyki:

  • Dobra znajomość podejścia GitOps (np. ArgoCD).
  • Swobodne poruszanie się w systemach kontroli wersji (Git, GitHub, Bitbucket).

Umiejętności:

  • Bardzo dobre zdolności analityczne i rozwiązywania problemów, szczególnie w złożonych systemach rozproszonych.
  • Nastawienie na rozwój, innowacje i ciągłe usprawnianie procesów.
  • Znajomość języka angielskiego na poziomie min. B2.

Mile widziane:

  • Doświadczenie z narzędziami monitoringu (Prometheus, Grafana, Nagios).
  • Wiedza z zakresu MLOps lub pracy z infrastrukturą AI/ML (np. SageMaker, Kubeflow).
  • Znajomość platform wirtualizacyjnych (np. Proxmox).
  • Doświadczenie z narzędziami typu SonarQube, Jira, HashiCorp Vault.
  • Znajomość procesów budowania aplikacji w Javie.
  • Podstawy sieci i bezpieczeństwa (np. Fortigate, Nessus, przełączniki sieciowe).
  • Umiejętność administracji PostgreSQL.
  • Znajomość Pythona.
  • Certyfikaty branżowe (np. Kubernetes, Linux – CKA, CKAD, LFCS).
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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on 1dea's form

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    1dea's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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