About the position
Our client is one of the leading providers of a comprehensive program that enables businesses to secure brand value and thrive commercially. They serve over 5000 clients on five continents!
The project we are working on is the largest technology transformation for the Client at the moment. It consists of Engineering and Data Science functions, with 180 people globally aligned to Trademark Solutions or Online Brand Protection Business Units. Brand Protection has large-scale web crawling and workflow web applications (including browser plugins). The platform is tracking millions of product listings each day and a dataset in excess of 150TB.
How will you impact the business?
Build new development tools and infrastructure.
Participate in driving self-service infrastructure efforts.
Improve automation of the application’s deployment for production and pre-release environments.
Automate testing and code examination written by all the development teams
Manage and Improve CI/CD, build management, and deployment scripts and systems.
Working with software developers and software engineers to ensure that development follows established processes and works as intended
Maintain optimal quality for all applications.
Safeguard and implement standards set up by the Client security and SRE departments.
Your experience and skills:
4-5 years of experience in a DevOps role;
2-3 years of hands-on experience with Docker; Kubernetes; Terraform, Ansible, Linux;
Experience with AWS is a must; GCP as a plus;
Experience with virtualization and containerization solutions such as OpenStack, VMWare, Kubernetes, and Docker;
Experience with monitoring, logging, and alerting technologies: Datadog, CloudWatch, Grafana, Prometheus, ELK stack, and related;
Experience with software engineering and data structure principles and practices;
Experience with object-oriented and structured programming principles and practices;
Experience with distributed computing, storage, networking design, monitoring, and administration;
Proactive mindset with strong attention to details, patterns, and potential bottlenecks;
Provable success collaborating across teams and tiers within an enterprise organization;
English advanced skills.
