DevOps Engineer for AI Platforms - CI/CD & Cloud Automation

ai71; Abu Dhabi; On-site; AED 240,000 - 420,000; Full time

Job summary

AI71 seeks a motivated DevOps Engineer to design, build, and maintain scalable CI/CD pipelines and infrastructure for AI model deployment. You will work with development teams to ensure smooth deployments, reliability, and cost-effective operations across cloud and on‑prem environments.

You will automate provisioning with Terraform/Ansible, containerize with Docker/Kubernetes, and monitor systems with Prometheus, Grafana, and Datadog.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proficiency in at least one scripting language: Python, Bash, or Go.
• Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
• Skilled in containerization and orchestration with Docker and Kubernetes.
• Experience using CI/CD tools such as Azure DevOps, Jenkins, GitLab CI/CD, or CircleCI.
• Knowledge of monitoring and observability tools like Prometheus, Datadog, New Relic, Grafana, or PagerDuty.
• Understanding of networking fundamentals including DNS, load balancing, and firewalls.
• Familiarity with real-time streaming architectures for AI and data applications.

Responsibilities

• Design, implement, and maintain CI/CD pipelines to streamline development workflows.
• Build and manage scalable infrastructure for AI model deployment and lifecycle management.
• Automate infrastructure provisioning and management using tools like Terraform, Ansible, or CloudFormation.
• Optimize cloud-based and on-premises resources for scalability and cost efficiency.
• Manage and fine-tune queuing systems and real-time streaming architectures.
• Monitor and troubleshoot production systems to ensure uptime and performance.
• Implement logging, monitoring, and alerting solutions using tools such as Prometheus, Grafana, ELK stack, etc.
• Set up comprehensive monitoring for both system metrics and ML model performance.
• Conduct root cause analyses and post-mortems to improve system reliability.
• Collaborate with development and QA teams to deploy new features into production seamlessly.
• Promote best practices in system architecture, security, and performance.
• Participate in a rotating on-call schedule for production system support.
• Ensure infrastructure complies with security and compliance standards (e.g., SOC2, ISO27001).
• Securely manage secrets and credentials using tools like Vault or AWS Secrets Manager.

Skills

Python

Bash

Go

Networking basics

Streaming architectures

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Terraform

Ansible

CloudFormation

Docker

Kubernetes

Azure DevOps

Jenkins

GitLab CI/CD

CircleCI

Prometheus

Grafana

Datadog

New Relic

PagerDuty

Vault

AWS Secrets Manager

Job description

AI71 seeks a motivated DevOps Engineer to design, build, and maintain scalable CI/CD pipelines and infrastructure for AI model deployment. You will work with development teams to ensure smooth deployments, reliability, and cost-effective operations across cloud and on‑prem environments.

You will automate provisioning with Terraform/Ansible, containerize with Docker/Kubernetes, and monitor systems with Prometheus, Grafana, and Datadog.