AI Automation & DevOps Engineer

Nysuniverse FZE LLC; Ajman; On-site; AED 33,000 - 56,000; Full time

Job summary

NYS Universe is seeking an AI Automation & DevOps Engineer to design, build, and operate reliable AI-powered automation systems and cloud infrastructure in Ajman, UAE. This onsite, full-time role combines backend engineering, workflow automation, platform operations, and production reliability.

You will integrate language models and APIs, manage cloud infrastructure and CI/CD pipelines, monitor performance, and ensure cost-efficient operation while documenting runbooks.

Qualifications

• 2–5 years of experience in backend, DevOps, or automation engineering.
• Strong experience with Node.js, Python, or similar backend technologies.
• Experience integrating AI/LLM APIs into production systems.

Responsibilities

• Build and maintain AI-powered applications and automation workflows.
• Integrate language models, APIs, databases, webhooks, and third-party services.
• Develop background workers, queues, scheduled jobs, retries, and monitoring.
• Manage cloud infrastructure, Linux servers, Docker containers, and networking.
• Build and maintain CI/CD pipelines.
• Configure observability, logging, alerts, backups, and disaster recovery.
• Manage environments, secrets, access controls, domains, and certificates.
• Monitor system performance, availability, security, and operating costs.
• Investigate production incidents and implement long-term fixes.
• Document architecture, deployment procedures, and operational runbooks.

Skills

Node.js

Python

Backend development

Automation engineering

DevOps

Cloud platforms

PostgreSQL

Observability

Incident response

Tools

Docker

Linux

Git

CI/CD

Sentry

Grafana

Datadog

CloudWatch

Job description

About the Role

NYS Universe is seeking an AI Automation & DevOps Engineer to design, build, and operate reliable AI-powered automation systems and cloud infrastructure. This onsite, full-time role in Ajman combines backend engineering, workflow automation, platform operations, and production reliability.

Key Responsibilities

• Build and maintain AI-powered applications and automation workflows.
• Integrate language models, APIs, databases, webhooks, and third-party services.
• Develop background workers, queues, scheduled jobs, retries, and monitoring.
• Manage cloud infrastructure, Linux servers, Docker containers, and networking.
• Build and maintain CI/CD pipelines.
• Configure observability, logging, alerts, backups, and disaster recovery.
• Manage environments, secrets, access controls, domains, and certificates.
• Monitor system performance, availability, security, and operating costs.
• Investigate production incidents and implement long-term fixes.
• Document architecture, deployment procedures, and operational runbooks.

Success Metrics

• Reliable and observable production systems.
• Safe, repeatable deployments.
• Fast incident detection and recovery.
• Secure handling of infrastructure and user data.
• Predictable infrastructure and AI operating costs.
• Maintainable and scalable automation workflows.

Desired Candidate Profile

Requirements

• 2–5 years of experience in backend, DevOps, or automation engineering.
• Strong experience with Node.js, Python, or similar backend technologies.
• Experience integrating AI/LLM APIs into production systems.
• Solid knowledge of Docker, Linux, Git, and CI/CD.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong PostgreSQL or equivalent database experience.
• Familiarity with queues, workers, event-driven systems, and APIs.
• Experience with monitoring tools such as Sentry, Grafana, Datadog, or CloudWatch.
• Understanding of security, secrets management, backups, and access control.
• Strong troubleshooting and incident-response skills.

Preferred Qualifications

• Kubernetes or container orchestration experience.
• Infrastructure as code using Terraform, Pulumi, CloudFormation, or CDK.
• Experience with serverless functions and managed databases.
• Experience optimizing AI/API costs and latency.
• Familiarity with mobile and web deployment pipelines.

Job Details

• Location: Ajman, UAE (Onsite)
• Employment type: Full-time
• Salary: AED 3,000 – 5,000 per month