AI Infrastructure Engineer

Job summary

Palona AI is seeking an AI Infrastructure Engineer to design and operate secure, scalable cloud infrastructure for real-time AI services. The role involves improving service reliability, building deployment systems, and collaborating with product and AI engineers to enhance operational readiness.

Qualifications

• 3+ years industrial experience in relevant technical domain.
• Strong software engineering fundamentals and experience with production systems.
• Hands-on experience with major cloud platforms, especially AWS.
• Experience with containers, infrastructure as code, CI/CD, and monitoring.
• Ability to write reliable automation in Python or modern programming languages.
• Sound judgment regarding availability, latency, scalability, and security.
• Track record of resolving ambiguous operational problems.
• Clear communication during architecture reviews and incidents.
• Curiosity about operational behavior of AI systems.

Responsibilities

• Design and evolve secure, scalable cloud infrastructure for AI services.
• Improve service reliability through SLOs, observability, capacity planning, and incident prevention.
• Build deployment systems for fast, repeatable, and safe production changes.
• Own infrastructure as code and environment consistency across stages.
• Collaborate with product and AI engineers on architecture and operational readiness.
• Diagnose distributed-system failures across various integration boundaries.
• Reduce infrastructure costs while maintaining customer experience.
• Strengthen security foundations including access controls and vulnerability management.
• Build internal tooling to reduce manual work for engineers.
• Participate in incident response and improve systems through documentation and automation.

Skills

Relocation