Where cloud AI and automation collide.
Step into a DevOps / Platform Engineer role shaping modern Azure infrastructure enabling data and AI platforms and building deployment pipelines that move at the speed of innovation.
This hybrid role gives you the chance to engineer systems that dont just support products they power them while working on impactful cloud platforms and pipelines supporting AI and data-driven solutions gaining exposure to modern DevOps and AI technologies.
Key Responsibilities
- Design deploy and manage scalable Azure cloud infrastructure using Terraform/Bicep
- Build and maintain CI/CD pipelines for applications and data services
- Automate provisioning configuration and monitoring across development testing and production environments
- Implement monitoring logging and alerting using Azure Monitor Grafana or similar tools
- Collaborate with AI and data teams to support Databricks and ML model deployments
- Ensure security and compliance through DevSecOps best practices
Requirements
- 35 years experience as a DevOps or Cloud Engineer
- Hands-on experience with Azure Docker Kubernetes (AKS preferred)
- Strong knowledge of CI/CD automation tools and scripting (Python/Bash)
- Experience with data workflows or AI/ML operations is an advantage
- Excellent communication and problem-solving skills
In sending your CV you confirm that you have read and understood our POPI Policy found on our . Should you be unsuccessful for this particular position you have no objection to us retaining your personal information in our database which you confirm is true correct and up to date. Should a suitable opportunity arise we will contact you and request your permission to submit your information.
Required Experience:
IC
Where cloud AI and automation collide.Step into a DevOps / Platform Engineer role shaping modern Azure infrastructure enabling data and AI platforms and building deployment pipelines that move at the speed of innovation.This hybrid role gives you the chance to engineer systems that dont just support...
Where cloud AI and automation collide.
Step into a DevOps / Platform Engineer role shaping modern Azure infrastructure enabling data and AI platforms and building deployment pipelines that move at the speed of innovation.
This hybrid role gives you the chance to engineer systems that dont just support products they power them while working on impactful cloud platforms and pipelines supporting AI and data-driven solutions gaining exposure to modern DevOps and AI technologies.
Key Responsibilities
- Design deploy and manage scalable Azure cloud infrastructure using Terraform/Bicep
- Build and maintain CI/CD pipelines for applications and data services
- Automate provisioning configuration and monitoring across development testing and production environments
- Implement monitoring logging and alerting using Azure Monitor Grafana or similar tools
- Collaborate with AI and data teams to support Databricks and ML model deployments
- Ensure security and compliance through DevSecOps best practices
Requirements
- 35 years experience as a DevOps or Cloud Engineer
- Hands-on experience with Azure Docker Kubernetes (AKS preferred)
- Strong knowledge of CI/CD automation tools and scripting (Python/Bash)
- Experience with data workflows or AI/ML operations is an advantage
- Excellent communication and problem-solving skills
In sending your CV you confirm that you have read and understood our POPI Policy found on our . Should you be unsuccessful for this particular position you have no objection to us retaining your personal information in our database which you confirm is true correct and up to date. Should a suitable opportunity arise we will contact you and request your permission to submit your information.
Required Experience:
IC
View more
View less