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Our client is an AI and software company focused on building production-grade agentic AI systems for enterprise clients. They help organizations move from AI prototypes to scalable, real-world deployments that automate and optimize core business processes. The company operates at the intersection of AI innovation and enterprise software engineering, delivering systems designed for reliability, scalability, and measurable business impact.

Key Responsibilities

• Monitoring the operation of production applications using monitoring tools.
• Reading and analyzing application logs.
• Administering Kubernetes and Docker clusters.
• Collaborating with development teams for debugging and reproducing issues.
• Performing health checks, restarting services, scaling pods.
• Participating in a 24/7 rotating shift schedule.
• Documenting actions and communicating incidents.

Required Qualifications

• Experience in Application Support / DevOps Support.
• Experience in reading logs.
• Experience with monitoring tools.
• Hands-on experience in Kubernetes and Docker administration.
• Understanding of CI/CD, containers, and microservices.
• Strong troubleshooting skills.
• Good knowledge of Linux.
• Good command of the English language.

Nice-to-Have Skills

• Experience with ticketing systems.
• Basic SQL knowledge or API troubleshooting experience.
• Team spirit and responsibility.

What They Offer

• Participation in high-tech projects.
• Access to modern monitoring & observability tools.
• Continuous training.