Hi
We have an urgent requirement for Devops role with ML experience in TD Bank. Please do share profiles only with relevant experience
Role: Devops Engineer (with ML)
No of Position : 1
Location : Toronto Canada
Pay rate / Hr : CAD 62/hr on T4
Work model : Hybrid ( 4 days to office)
Potential updated:
You will be deploying and modernizing Machine Learning Kubernetes infrastructure. Ensuring deployments comply with enterprise security standards. The day-to-day task involves delivery deployment and upgrading of scalable systems designed for data ingestion processing validation model training large-scale computation monitoring and serving prediction results.
Our stack for DevOps includes Kubernetes Docker Databricks Blobfuse Terraform Helm Github Actions and Saltstack with a majority of our infrastructure running on Azure cloud.
Job Requirements
Must-Have:
- 5 years of experience building sophisticated and automated production infrastructure
- Experience with Kubernetes docker and container orchestration
- Experience with Terraform
- A background in software engineering working within a software development team
- Solid cloud experience (Preferably Azure or AWS)
- Strong scripting skills i.e. Bash Python Groovy etc.
- Experience with managing CI/CD tools and pipelines
- Experience with Linux systems administration skills in a Cloud environment Redhat and Ubuntu
- Experience with Git and Jenkins
- Strong verbal and written communication skills with the ability to work effectively across teams and produce engineering documentation
- BA/BS degree or equivalent experience; Computer Science background preferred
Nice-to-Have:
- Knowledge of IP networking VPNs DNS load balancing and firewalls
- Familiarity with monitoring tools
- Experience with automated testing tools
- Experience troubleshooting and tuning systems performance
- Experience with Saltstack or other configuration management
- Experience resolving and triaging docker image problems
- Experience optimizing system-level design and architecture
Hi We have an urgent requirement for Devops role with ML experience in TD Bank. Please do share profiles only with relevant experience Role: Devops Engineer (with ML) No of Position : 1 Location : Toronto Canada Pay rate / Hr : CAD 62/hr on T4 Work model : Hybrid ( 4 days to office) Potenti...
Hi
We have an urgent requirement for Devops role with ML experience in TD Bank. Please do share profiles only with relevant experience
Role: Devops Engineer (with ML)
No of Position : 1
Location : Toronto Canada
Pay rate / Hr : CAD 62/hr on T4
Work model : Hybrid ( 4 days to office)
Potential updated:
You will be deploying and modernizing Machine Learning Kubernetes infrastructure. Ensuring deployments comply with enterprise security standards. The day-to-day task involves delivery deployment and upgrading of scalable systems designed for data ingestion processing validation model training large-scale computation monitoring and serving prediction results.
Our stack for DevOps includes Kubernetes Docker Databricks Blobfuse Terraform Helm Github Actions and Saltstack with a majority of our infrastructure running on Azure cloud.
Job Requirements
Must-Have:
- 5 years of experience building sophisticated and automated production infrastructure
- Experience with Kubernetes docker and container orchestration
- Experience with Terraform
- A background in software engineering working within a software development team
- Solid cloud experience (Preferably Azure or AWS)
- Strong scripting skills i.e. Bash Python Groovy etc.
- Experience with managing CI/CD tools and pipelines
- Experience with Linux systems administration skills in a Cloud environment Redhat and Ubuntu
- Experience with Git and Jenkins
- Strong verbal and written communication skills with the ability to work effectively across teams and produce engineering documentation
- BA/BS degree or equivalent experience; Computer Science background preferred
Nice-to-Have:
- Knowledge of IP networking VPNs DNS load balancing and firewalls
- Familiarity with monitoring tools
- Experience with automated testing tools
- Experience troubleshooting and tuning systems performance
- Experience with Saltstack or other configuration management
- Experience resolving and triaging docker image problems
- Experience optimizing system-level design and architecture
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