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AI Squared

Dev Ops Engineer

AI overview

Collaborate with engineers to design and maintain scalable cloud infrastructure while optimizing CI/CD pipelines and ensuring system reliability for AI and ETL workloads.

Who are we looking for? 

We are seeking a skilled and experienced DevOps Engineer to join our team. You will play a critical role in designing, implementing and maintaining high performing, secure, and scalable systems in our cloud infrastructure. This role involves collaborating closely with other engineers, product and sales personnel, and other stakeholders to ensure that our product’s availability and performance comply with customer SLAs. It also requires you to be on-call, as a first line of defense, for a period of one-week (rotating). 

 

You will be responsible for: 

  • Design, implement, and maintain scalable, secure, and cost-effective cloud infrastructure in Azure. 
  • Build and optimize automated CI/CD pipelines to ensure seamless and efficient deployment of ML models, APIs, and other applications. 
  • Automation of manual processes and workflows. 
  • Monitoring and troubleshooting to ensure uptime, performance, and reliability of our systems. 
  • Responding quickly to incidents and troubleshoot infrastructure or application-related issues. 
  • Close collaboration with Software Engineers, Data Scientists, and Product teams to ensure infrastructure meets the needs of AI and ETL workloads,  and can handle high volumes of data and computation. 
  • Adherence to security best practices in system architecture and deployment pipelines to ensure data privacy, security, and compliance with relevant regulations (SOC 2, CCPA). 
  • Continuous evaluation and optimization for system performance, cost management and scalability of AI-related and ETL workloads. 
  • Create and maintain clear documentation on deployment processes, infrastructure setup, and troubleshooting guides to support internal teams and reduce downtime. 

 

Requirements: 

  • 3+ years of hands-on experience in a DevOps role. 
  • Strong proficiency with Azure and AWS. 
  • Experience with containerization and orchestration: Docker and Kubernetes. 
  • Experience with monitoring and logging tools (Prometheus, Grafana, Loki, etc.) 
  • Experience building and maintaining workflows with GitHub Actions. 
  • Scripting skills in Python, Bash, or similar language is encouraged. 
  • Experience with git and git-based workflows. 
  • Familiarity with collaboration development tools like Linear, Slack, and Confluence. 

 

 

AI Squared

At AI Squared, our vision is to foster widespread AI adoption by embedding AI insights directly into mission-critical business applications and everyday workflows.  By leveraging AI Squared’s platform, organizations can access and integrate any data or machine-learning insight directly into their web-based business applications – leading to data-driven decisions and ML-powered innovation.

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