Infatica.io

Middle DevOps Engineer (AI-driven)

🇷🇸 Remote, Serbie Remote Publié Mai 13, 2026
Lieu Remote, Serbie
Mode de travail Remote
Langue English
Publié 13 mai 2026
Dernière vérification 30 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

Middle DevOps Engineer (AI-driven) at Infatica.io: Remote, Serbie. This listing is part of JobGrid's Emplois IA à distance depuis des pages carrières. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying. This listing is part of JobGrid's Emplois de developpeur logiciel a distance depuis des pages carrieres.

  • Location and workplace: Remote, Serbie
  • Source freshness: checked by JobGrid on 2026-05-30.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

Infatica.io is a global provider of proxy and DaaS solutions. We're building our own high-load web scraping platform: an API where you can submit any URL and receive clean HTML or structured JSON output, without worrying about proxies, CAPTCHAs, or anti-bot systems.

The platform will support both cloud deployment and on-premises deployment in client infrastructure (on-prem, Kubernetes).

We are looking for a DevOps Engineer who builds and maintains infrastructure through automation and the systematic use of AI tools in their daily work.

Key Responsibilities:

  • Maintain and develop Linux infrastructure across dev, test, stage, and production environments
  • Configure and optimize CI/CD pipelines (GitLab CI)
  • Work with Docker / Docker Compose
  • Set up monitoring and alerting (Prometheus, Grafana, Zabbix)
  • Configure web services, reverse proxies, and load balancing
  • Automate tasks using scripts and AI tools (generation, optimization, refactoring)
  • Analyze logs and incidents using AI (faster diagnosis and root cause analysis)
  • Implement simple automation/AI agents for routine operations and alerting
  • Reduce manual work and incident response time
  • Document infrastructure in a structured way (for reuse and AI‑powered search)