Software Engineer ML applications
Builds and maintains cloud-native infrastructure and ML application pipelines using Python, Ansible, Kubernetes, and AWS tools; focuses on DevOps/SRE best practices like CI/CD, monitoring, and security.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Full description
Job Description of Software Engineer ML applications in Sydney:
Key Skill is Ansible, Python, Unix
Experience as Software Engineer/ DevOps/SRE/System Engineer in Cloud environment.
Practical working Experience in AWS with Native Tools.
Experience with container technology, Docker and Kubernetes/EKS.
Experience programming in in Go, Python, Typescript, Bash.
Experience working with Infrastructure as Code (Cloudformation, CDK, Terraform)
Experience working with CI/CD tools like (Jenkins, BitBucket, Bamboo CodeBuild, CodePipeline, Docker
Registry, ArgoCD)
Understanding of DevOps/SRE Best Practices: Logging, Monitoring, Security.
Be able communicate your idea clearly and effectively