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Middle DevOps Engineer (AI-driven)

4 weeks ago
Serbia
Full-time
Junior
AI Engineer
DevOps and Infrastructure
Ansible Bash ClickHouse DNS Docker GitLab CI Grafana HTTP Kubernetes Linux Load Balancing PostgreSQL Prometheus Python Reverse Proxy TCP/IP TLS Zabbix
Apply Now
Infatica

Infatica

Infatica is a global proxy network providing residential, mobile, and datacenter proxies for professional use, offering secure web scraping services with over 10 million IP addresses in 250+ locations.

Internet Software & Services
1-10
Founded 2019
View All Jobs 13

Description

  • Maintain and develop Linux infrastructure across development, testing, staging, and production environments.
  • Configure and optimize CI/CD pipelines using GitLab CI.
  • Work with Docker and Docker Compose to support application deployments and operations.
  • Set up and maintain monitoring and alerting systems with Prometheus, Grafana, and Zabbix.
  • Configure web services, reverse proxies, and load balancing.
  • Automate routine tasks using scripts and AI tools for generation, optimization, and refactoring.
  • Analyze logs and incidents using AI to speed up diagnosis and root cause analysis.
  • Implement simple automation and AI agents for operational tasks and alerting.
  • Reduce manual work and improve incident response time through automation.
  • Document infrastructure in a structured way for reuse and AI-powered search.

Requirements

  • 2+ years of experience in DevOps or System Administration.
  • Strong knowledge of Linux systems.
  • Understanding of networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, and TLS.
  • Hands-on experience with GitLab CI.
  • Experience with Docker and Docker Compose.
  • Experience with Prometheus, Grafana, and Zabbix.
  • Experience configuring web services and load balancing.
  • Experience with PostgreSQL and ClickHouse.
  • Scripting and automation skills in Bash, Python, or Ansible.
  • Proven experience using AI tools regularly in day-to-day work.
  • Ability to write, review, and optimize code or configurations using AI.
  • Experience using AI for incident diagnostics and log analysis.
  • Ability to quickly adopt new AI tools and integrate them into workflows.
  • Experience with high-load infrastructure is preferred.
  • Experience with cloud platforms or VPS environments is preferred.
  • Experience building self-healing systems is preferred.
  • Experience creating internal automation or AI agents is preferred.
  • Candidates are expected to already use AI in their daily work and be able to demonstrate specific use cases.

Benefits

  • Competitive compensation package.
  • Remote work flexibility.
  • High autonomy and influence on architecture and team decisions.
  • Opportunity to participate in developing the company’s key product.

Interested in this position?

Apply directly on the company website

Apply Now

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