Infatica.io

Middle DevOps Engineer (AI-driven)

🇷🇸 Remoto, Sérvia Remoto Publicado Mai 13, 2026
Localização Remoto, Sérvia
Modalidade Remoto
Idioma English
Publicado 13 de Maio de 2026
Última verificação 30 de Maio de 2026
Contexto da JobGrid

Resumo da vaga pela JobGrid

Middle DevOps Engineer (AI-driven) at Infatica.io: Remoto, Sérvia. This listing is part of JobGrid's Empregos remotos de IA em páginas de empresas. 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 Empregos remotos de software engineer em páginas de empresas.

  • Location and workplace: Remoto, Sérvia
  • 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)