DevOps Engineer

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

About AI71

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

About AI71

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

The Role

We are seeking a highly motivated and skilled DevOps Engineer to join our team. You’ll play a crucial role in building, deploying, and maintaining scalable and reliable systems and infrastructure, working closely with development teams to ensure operational efficiency and smooth deployment pipelines.

What You’ll Do

• 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.

What You’ll Bring

• 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.

Great Pluses / Preferred Experience

• Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi.
• Understanding of service mesh technologies like Istio or Linkerd.
• Familiarity with database scaling and administration, including VectorDBs, SQL, and NoSQL systems.
• Previous experience in a high-traffic production environment.

Why AI71

• Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
• Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
• Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
• World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.