AI Automation & DevOps Engineer

Role Overview

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.

Requirements

• 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.

Success Metrics

Pay

• AED 3,000.00 - AED 6,000.00 per month.

Work Location

• In person.