Software Delivery Architect

6 days ago

Riyadh, Ar Riyāḑ, Saudi Arabia Intelmatix Full time

Why Join Us:

At Intelmatix, we foster a culture of innovation, collaboration, and continuous learning. We believe in empowering our employees to grow professionally and personally. As a Principal Cloud/DevOps Engineer, you will have the opportunity to shape our cloud infrastructure strategy, drive innovation, and contribute to the success of our cutting-edge AI projects.

Job Overview:

This is a unique opportunity to join a leading-edge AI company, where you will work with a talented team of technologists, scientists, and engineers to develop and implement innovative solutions that transform industries.

Main Responsibilities:

  • Develop and maintain a high-performing cloud infrastructure strategy aligned with business goals.
  • Lead the implementation of CI/CD pipelines for seamless software and data-driven workflow integration.
  • Design and deploy advanced computational processes, including machine learning models.
  • Collaborate with cross-functional teams to optimize applications, machine learning model performance, and streamline deployment and monitoring processes.

Requirements:

  1. Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
  2. Minimum 8 years of experience in Platform/DevOps Engineering, focusing on cloud-based data processing and deployment strategies.
  3. Public cloud environment expertise (AWS preferred), including data services and ML model deployment tools.
  4. Infrastructure-as-Code (IaC) skills using Terraform, and data processing task automation.
  5. CI/CD tool proficiency (GitHub Actions, Jenkins, AWS CodePipeline), and data-centric workflow integration.
  6. Familiarity with monitoring and logging tools (Prometheus, Loki, Grafana), configuration management tools (Chef, Puppet, Ansible), and data orchestration tools (Airflow, Prefect).
  7. Docker, Kubernetes, Linux, SQL, cloud security, scripting for automation (Python, Bash), load balancing technologies, and CDN expertise.
  8. Agile methodology experience, strong communication, and leadership skills.

Desirable Skills:

  1. AWS Certifications (Solutions Architect, DevOps Engineer).
  2. Scalable data processing and machine learning model deployment experience (batch and real-time).
  3. ML system development and maintenance expertise with MLflow, BentoML, and Evidently AI.
  4. Advanced modeling framework exposure (PyTorch, TensorFlow).
  5. Data governance and compliance familiarity.
  6. Kubernetes Administration or Developer Certification (CKA/CKAD).
  7. Diverse cloud compute and data processing tool stack exposure.

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