Cloud Architectural Expert

2 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Job Summary
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We are seeking an experienced Senior DevOps Engineer to join our team. The ideal candidate will have extensive experience in designing and managing cloud-based infrastructure for AI/ML applications, as well as the broader IT infrastructure of a growing organization.

This role will be critical in supporting the deployment of generative AI models, while also overseeing the infrastructure that underpins all of our enterprise applications and services.

Key Responsibilities:
  1. Infrastructure Design and Management:
    • Architect, implement, and manage scalable, secure, and highly available cloud infrastructure that supports LLM and generative AI model deployment.
    • Design and maintain the organization's overall IT infrastructure, ensuring seamless operation of all enterprise applications, databases, and services.
    • Develop and maintain Infrastructure as Code (IaC) solutions using tools like Terraform, AWS CloudFormation, or similar, to automate infrastructure provisioning and management across the organization.
  2. Performance and Scalability:
    • Ensure that infrastructure supporting AI models and organizational systems is optimized for high performance and scalability to handle millions of requests and large-scale data processing.
    • Implement auto-scaling strategies for both AI and organizational environments to ensure resource efficiency and cost-effectiveness.
  3. Security and Compliance:
    • Establish and enforce security best practices across all organizational infrastructure, ensuring compliance with industry standards and regulations.
    • Implement and maintain robust security protocols, including network security, data encryption, and identity management.
  4. Automation and CI/CD:
    • Design and implement CI/CD pipelines for AI model deployments and enterprise application updates, ensuring continuous integration and delivery.
    • Automate routine tasks such as software deployments, system updates, and infrastructure monitoring to reduce manual intervention and increase operational efficiency.
  5. Monitoring and Incident Management:
    • Set up and maintain monitoring, logging, and alerting systems to ensure the health and performance of infrastructure across the organization.
    • Lead incident management and response efforts, diagnosing and resolving issues promptly to minimize downtime and impact on the organization.
  6. Collaboration and Support:
    • Work closely with AI/ML teams, software developers, and IT staff to understand infrastructure needs and provide technical support.
    • Collaborate with cross-functional teams to ensure smooth integration and operation of AI solutions within the broader organizational infrastructure.
    • Provide mentorship and leadership to junior DevOps engineers and IT staff, fostering a culture of continuous learning and improvement.
  7. Innovation and Continuous Improvement:
    • Stay current with the latest developments in cloud infrastructure, DevOps practices, and AI/ML technologies.
    • Proactively identify opportunities to improve infrastructure, tools, and processes, driving innovation and efficiency within the organization.

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