Infatica.io

Middle DevOps Engineer (AI-driven)

🇷🇸 Віддалено, Сербія Віддалено Опубліковано Тра 13, 2026
Локація Віддалено, Сербія
Формат роботи Віддалено
Мова English
Опубліковано 13 травня 2026 р.
Остання перевірка 30 травня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Middle DevOps Engineer (AI-driven) at Infatica.io: Віддалено, Сербія. This listing is part of JobGrid's Віддалені вакансії в AI з кар'єрних сторінок. 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 Віддалені вакансії software engineer з кар'єрних сторінок.

  • Location and workplace: Віддалено, Сербія
  • 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)