Key skills
AWSCloudPythonTerraformBashPowerShellAIMachine LearningAnalyticsCloudFormationS3IAMGitAgileCI/CDCommunicationCollaboration
About this role
Role Overview
- Assist with enabling and supporting cloud based AI services and solutions (e.g., AWS based platforms and tooling)
- Support infrastructure provisioning using Infrastructure as Code (CloudFormation and/or Terraform)
- Help implement and improve automation, CI/CD pipelines, and operational workflows
- Assist with onboarding and supporting teams using shared AI and analytics platforms
- Contribute to documentation, runbooks, and knowledge base articles
- Participate in Agile ceremonies and collaborate with engineers, architects, and platform partners
- Learn how enterprise AI and analytics platforms are designed, deployed, and supported in production environments
- Observe and assist with operational support activities (monitoring, incident follow‑ups, KTLO tasks)
- Identify opportunities for process improvements and suggest practical, innovative solutions
Requirements
- Strong communication and collaboration skills
- Insatiable curiosity and eagerness to learn and apply new technologies
- Strong analytical and problem-solving abilities; comfortable breaking down problems and asking questions
- Ability to take initiative and follow through on assigned tasks
- Ability to work both independently and as part of a team
- Exposure to cloud platforms (AWS preferred)
- Basic understanding of services such as IAM, S3, or managed AI services
- Familiarity with Infrastructure as Code concepts (specifically CloudFormation)
- Programming or scripting experience, particularly with automation (Python, Bash, PowerShell)
- Basic understanding of CI/CD, Git, or DevOps concepts
- Interest in AI, machine learning, analytics platforms, or platform engineering
Tech Stack
- AWS
- Cloud
- Python
- Terraform
Benefits
- Hands-on experience with real enterprise AI and cloud platforms
- Mentorship from experienced cloud, AI, and platform engineers
- Exposure to modern DevOps, automation, and AI Ops practices
- Opportunities to contribute meaningful work that supports teams across the organization
- A hybrid work environment aligned to team and business needs
- Access to learning resources, training, and career development pathways