Senior DevOps Engineer

November 14, 2024

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Logo of Macrometa

Macrometa

Macrometa is a company that merges AI with web performance to drive digital growth for businesses. It offers an Edge Delivery Network which enhances conversions, improves SEO, and accelerates site speed without requiring code changes. Through its PhotonIQ solutions, Macrometa empowers global brands by optimizing web performances, increasing organic traffic, and ensuring scalability and reliability during high traffic conditions. With a focus on AI-powered solutions, Macrometa helps businesses reduce search spend, increase conversion rates, and enhance the visibility of dynamic content online. Its technology facilitates better user experiences, supports revenue growth, and provides improved security against fraud and performance hiccups.

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Design, implement, and maintain infrastructure across multiple cloud providers (AWS, GCP, Linode) and on-premise environments • Lead automation initiatives for infrastructure provisioning, configuration management, and application deployment • Architect and implement disaster recovery and business continuity strategies • Establish and enforce security best practices across all infrastructure components • Design and maintain comprehensive monitoring, logging, and alerting systems • Drive continuous integration/continuous delivery (CI/CD) practices and tooling • Collaborate cross-functionally with development teams, product managers, and operations staff • Develop and document operational procedures for deployment, management, and troubleshooting • Evaluate and recommend new technologies and practices to improve platform capabilities

🎯 Requirements

• Bachelor's or Master's degree in Computer Science or related technical field • 10+ years of experience in designing and managing large-scale distributed systems • Demonstrated expertise in: • Multi-cloud environment management (AWS, GCP, Linode) • On-premise infrastructure operations • Python and shell scripting • Linux systems administration (particularly Ubuntu) • System logging analysis and performance optimization • Object-oriented design and complexity analysis • Strong analytical and problem-solving abilities • Excellence in incident analysis and root cause determination • Outstanding written and verbal communication skills • Proven ability to lead technical initiatives • Experience with on-premises Kubernetes deployments preferred • Expertise in Python preferred • Experience with large-scale distributed data platforms preferred

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