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Home/Jobs/DevOps Engineer
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AI71

DevOps Engineer

🇦🇪 Abu Dhabi, UAE🏢 On-site
DevOpsCI/CDAWSAzureGCPTerraformAnsibleKubernetes
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AI71

<h3><strong>About AI71:</strong></h3>
<p>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.</p>
<h3><strong>The Role:</strong></h3>
<p>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.</p>
<h3><strong>What You'll Do:</strong></h3>
<ul>
<li>Design, implement, and maintain CI/CD pipelines to streamline development workflows.</li>
<li>Build and manage scalable infrastructure for AI model deployment and lifecycle management.</li>
<li>Automate infrastructure provisioning and management using tools like Terraform, Ansible, or CloudFormation.</li>
<li>Optimize cloud-based and on-premises resources for scalability and cost efficiency.</li>
<li>Manage and fine-tune queuing systems and real-time streaming architectures.</li>
<li>Monitor and troubleshoot production systems to ensure uptime and performance.</li>
<li>Implement logging, monitoring, and alerting solutions using tools such as Prometheus, Grafana, ELK stack, etc.</li>
<li>Set up comprehensive monitoring for both system metrics and ML model performance.</li>
<li>Conduct root cause analyses and post-mortems to improve system reliability.</li>
<li>Collaborate with development and QA teams to deploy new features into production seamlessly.</li>
<li>Promote best practices in system architecture, security, and performance.</li>
<li>Participate in a rotating on-call schedule for production system support.</li>
<li>Ensure infrastructure complies with security and compliance standards (e.g., SOC2, ISO27001).</li>
<li>Securely manage secrets and credentials using tools like Vault or AWS Secrets Manager.</li>
</ul>
<p> </p>
<h3><strong>What You'll Bring:</strong></h3>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).</li>
<li>Proficiency in at least one scripting language: Python, Bash, or Go.</li>
<li>Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.</li>
<li>Skilled in containerization and orchestration with Docker and Kubernetes.</li>
<li>Experience using CI/CD tools such as Azure DevOps, Jenkins, GitLab CI/CD, or CircleCI.</li>
<li>Knowledge of monitoring and observability tools like Prometheus, Datadog, New Relic, Grafana, or PagerDuty.</li>
<li>Understanding of networking fundamentals including DNS, load balancing, and firewalls.</li>
<li>Familiarity with real-time streaming architectures for AI and data applications.</li>
</ul>
<p> </p>
<h3><strong>Great Pluses / Preferred Experience </strong></h3>
<ul>
<li>Experience with Infrastructure as Code (IaC) tools like Terraform or Pulumi.</li>
<li>Understanding of service mesh technologies like Istio or Linkerd.</li>
<li>Familiarity with database scaling and administration, including VectorDBs, SQL, and NoSQL systems.</li>
<li>Previous experience in a high-traffic production environment.</li>
</ul>
<p> </p>
<h3><strong>Why AI71:</strong></h3>
<ul>
<li><strong>Mission-Driven Work:</strong> Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.</li>
<li><strong>Unparalleled Opportunity:</strong> 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.</li>
<li><strong>Career Growth: </strong>We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.</li>
<li><strong>World-Class Environment:</strong> Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.</li>
</ul>
<p><br><br></p>

Requirements

  • •Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • •Proficiency in Python, Bash, or Go scripting
  • •Hands-on experience with AWS, Azure, or Google Cloud
  • •Skilled in Docker and Kubernetes containerization/orchestration
  • •Experience with CI/CD tools (Azure DevOps, Jenkins, GitLab CI/CD, CircleCI)
  • •Knowledge of monitoring tools (Prometheus, Grafana, ELK stack)
  • •Understanding of networking fundamentals
  • •Familiarity with real-time streaming architecture

Nice to Have

  • •Experience with security and compliance standards (SOC2, ISO27001)
  • •Securely manage secrets and credentials using Vault or AWS Secrets Manager
  • •Experience with ML model performance monitoring

Responsibilities

  • •Design, implement, and maintain CI/CD pipelines
  • •Build and manage scalable infrastructure for AI model deployment
  • •Automate infrastructure provisioning and management
  • •Optimize cloud and on-premises resources
  • •Manage queuing systems and streaming architectures
  • •Monitor and troubleshoot production systems
  • •Implement logging, monitoring, and alerting solutions
  • •Collaborate with development and QA teams for seamless deployment

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AI71

AI71 offers a platform for creating and deploying advanced AI models. It serves businesses and developers seeking to integrate sophisticated artificial intelligence into their products.

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