Key skills
AWSAzureCloudPythonAIMLGitOpsAgileCI/CD
About this role
Role Overview
- Design, implement, and maintain cloud-native infrastructure for AI applications on AWS and Azure
- Build and manage CI/CD and GitOps workflows
- Develop production-grade services and platform components in Python
- Implement and maintain Infrastructure-as-Code (IaC)
- Collaborate with AI/ML engineers to integrate LLMs into products
- Operate as a system administrator-level engineer for cloud services
- Champion AI-native development practices
- Contribute to platform standards for security and compliance
- Participate in on-call rotations and incident response
Requirements
- 7+ years of professional software engineering or DevOps/SRE experience
- Strong experience with DevOps and GitOps practices
- Hands-on experience with Fabric and Argo CD (or similar GitOps tools)
- Deep experience with AWS and practical experience with Azure services
- Proficiency in Python
- Familiarity with containerization and orchestration
- Experience using AI-native development tools
- Solid understanding of monitoring, logging, and alerting practices
- Demonstrated ability to work in agile teams
- Bachelor’s degree in Computer Science or a related discipline or equivalent practical experience
Tech Stack
- AWS
- Azure
- Cloud
- Python
Benefits
- Health, dental and vision insurances
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- More