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We are looking for an experienced Platform Engineer DevOps to ensure that the foundation of our high-availability B2C services is robust, scalable, and efficient. You will operate and evolve our hybrid infrastructure (bare metal + cloud), leveraging Kubernetes and Docker as core runtimes. You will drive automation, CI/CD pipelines, and operational best practices to improve reliability and developer productivity.
Job Responsibility:
Implement, maintain and secure infrastructure (cloud, bare-metal, Kubernetes clusters)
Automate environment configuration using Infrastructure as Code (e.g.,Terraform, Ansible) and adhere to GitOps principles
Implement full-stack observability (metrics, logs, traces), sophisticated alerting, and participate in the incident management lifecycle
Ensure compliance with Service Level Objectives (SLOs) and Service Level Indicators (SLIs) for all managed services
Implement and manage secrets management systems
Contribute to the design and evolution of hybrid infrastructure
Define, lead, and maintain engineering standards for security, reliability, and technology selection across the organization, supporting the Head of Engineering in defining the platform roadmap
Drive continuous improvement initiatives for cloud cost optimization, scalability, performance, and platform security posture
Maintain comprehensive, up-to-date documentation and best practices to foster self-service and cross-team enablement
Design, implement, and maintain CI/CD pipelines (using GitLab CI, Github, and/or Jenkins) tailored for microservice architectures built with Node.js
Design and maintain self-service infrastructure tools (e.g., internal developer portals, CLI utilities) to empower development teams
Provide tools and services to support & simplify daily work for development and operations teams, including support for SPA, JavaScript frontend applications built with AngularJS
Requirements:
5+ years of hands-on experience in Platform Engineering, Infrastructure or DevOps
Expertise in operating and scaling Kubernetes and Docker in production environments
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