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Cloud Infrastructure Engineer

1 year ago

Summary

Cloud Infrastructure Engineers at Product Madness live and breathe in production looking for opportunities to improve reliability through observability, engaging with the technical groups. We are looking for a Cloud Engineer to join our Infrastructure Group. The ideal candidate will take part in creating the next generation of cloud infrastructure, CI/CD pipelines and our DevOps practices & culture inside Product Madness, using cutting edge modern technologies.

The successful applicant for this position will be a person with relevant experience, highly motivated and a team player.

Leading on incident response and taking ownership of Post-Mortems, the Cloud Engineers are responsible for keeping all user-facing services and other production systems running smoothly. Cloud Engineers apply sound engineering principles, operational discipline, and mature automation to the platform.

The key to the Cloud Engineers group's success is engagement across teams, contributing to the development and operation of games and services which meet reliability targets.

Product Madness is growing fast, which means as a Cloud Infrastructure Engineer you will have to balance speed to production while maintaining focus on crucial reliability metrics and processes.

The Cloud Infrastructure Engineer will be a key member of the leadership team as we implement and improve our Engineering best practice across the business.

What you'll do

Responsibilities

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

What we're looking for

Qualifications & Experience

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

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