Cognizant's Cloud, Infrastructure, and Security Services Practice (CIS), is all about accepting digital transformation by driving core modernization holistically across layers. We help customers transform infrastructure and workplace to meet the constantly evolving needs of the digital era. Our broad approach delivers key results for our customers by achieving cloud driven modernization and workplace and operational transformation to own the business in a secure environment.
Role: Devops Engineer
Location: Toronto, Canada
Mandatory skills : Devops CI/CD,
Kubernetes/Docker, Azure Cloud, scripting
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.
Roles and Responsibilities
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
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