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DevOps Engineer

Global ERP Solutionsabout 20 hours ago
Mississauga, Ontario, Canada
Senior Level
Full-Time

About the role

We are looking for a skilled and motivated Senior DevOps Engineer who is passionate about delivering high-quality work and collaborating with a team. In this role, you will design, build, and maintain CI/CD pipelines, manage cloud infrastructure, and improve platform reliability and performance. You will also develop automation solutions and design scalable patterns, so strong Python skills are required.

Key Responsibilities Develop and execute the target-state roadmap for platform modernization and continuous improvement. Partner with development teams to enhance build, release, and deployment processes. Support enterprise initiatives related to platform migrations, infrastructure modernization, and tool upgrades. Design, implement, and maintain CI/CD pipelines using GitHub Actions. Administer and support cloud environments, with a focus on OpenShift 4 and AWS. Deploy and manage containerized applications using Docker and Kubernetes. Utilize strong knowledge of the AWS platform to optimize cloud infrastructure and services. Configure and maintain Load Balancers, Service Discovery, and related networking components. Implement and manage monitoring, logging, and alerting solutions for infrastructure and applications. Investigate and resolve production issues while ensuring system reliability, availability, and disaster recovery readiness.

Technical Skills & Qualifications 4+ years of experience working as a DevOps Skilled with Dev Ops tools such as: OpenShift4, GitHub Actions, , Docker, Kubernetes, Load Balancer, Dynatrace, Elastic stack, Splunk, bash, python Strong knowledge of Kubernetes such as creating helm charts, auto scaling, managing, debugging deployments. Knowledge of build tools like Maven. Experienced with Dynatrace, Elastic stack and Splunk

Nice-to-have Certification within the DevOps space Experience using AI tools. Knowledge of AWS Containerization: Familiarity with Docker and Kubernetes for model serving. Lifecycle Management: Knowledge of MLOps tools such as MLflow or Kubeflow to monitor and troubleshoot AI systems.

About Global ERP Solutions

IT Services and IT Consulting