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Debug production issues across services and levels of the stack.
Plan and support the growth of Product Madness Infrastructure.
Design, Build and maintain multiple environments on GCP using infrastructure as a code approach.
Design, Implement and manage the CI/CD processes up to production environments.
Researching and Implementing new technologies to expand engineering capabilities in both production and development environments.
Make important technical decisions in the designing, creating and maintaining Product Madness’s Cloud Infrastructure.
Containerizing our services and managing them with leading orchestration frameworks (Kubernetes).
Design and manage Product Madness’s auto-scaling mechanism to help us manage Millions of customers around the world in a modern and scalable way.
Interface and work closely with various R&D Groups (Architects, Principal Engineers Developers, Product Managers).
Be part of product architectural and infrastructure design - Pay attention to both infrastructure and security aspects.
Maintaining, optimising and automating processes in a large scale of production environments.
Supporting other Engineers & Developers by providing necessary training, advice and mentorship.
Support production environments - troubleshooting and root cause analysis.
Be on an on-call rotation to respond to incidents that impact availability, and provide support for Cloud Operation Engineers
5 + years of experience as a DevOps/Infrastructure Engineer (at least 3 years as devops)
Expertise in Java, Python, Ruby, Bash or experience in another programming language
Experience and knowledge of CI/CD design and practice
Public Cloud, preferably GCP but AWS and Azure are good too!
Experience with Cloud Architecture Design principles and Cloud Architect certification
Experience creating infra as code solutions using tools such as: Terraform, Azure ARM templates , Cloudformation - a must
Experience with CI/CD tools and methodologies such as: Jenkins, ArgoCD, CircleCI, GitHub Action etc - a must
Hands-on implementation of Continuous Integration and Continuous Delivery in complex environments.
Proven experience working in a production environment - a must
Solid experience implementing production-grade Kubernetes Clusters with containerized environments and microservices (Docker, Kubernetes)
Experience working with Configuration Management tools (Chef, Puppet, Ansible is an advantage)
Solid understanding of networking technologies mainly focuses on networking for clouds
Experience with Service Mesh solutions such as Anthos, Istio, Consul - Advantage
Experience with monitoring and log analysis tools such as ELK, Prometheus, Grafana, New Relic, Splunk etc. - Advantage