Devops Engineer (with ML)

Toronto 5 days agoFull-time External
307 - 317 / hr
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, VPN's, 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