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Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth. As we build Yotpo’s next generation platform, we’re also exploring how AI can power smarter, more personalized eCommerce experiences. If you’re excited about leveraging AI technologies alongside modern engineering practices, this role is a great opportunity to make a meaningful, lasting impact. Our DevOps team plays a pivotal role in ensuring our cloud infrastructure is scalable, reliable, and secure. As a DevOps Team Lead, you will guide a high-performing, international team, optimize cloud infrastructure, and influence cross-functional projects that directly impact our customers and all R&D teams.
Job Responsibility:
Lead a high-performing, international DevOps team, fostering a culture of continuous improvement
Maintain, design, and optimize Yotpo’s cloud infrastructure to improve product quality, boost development velocity, and reduce operational costs
Make data-driven decisions by collecting and analyzing metrics to prioritize the most impactful initiatives
Lead and contribute to technical initiatives that require collaboration across multiple R&D teams
Requirements:
2+ years of experience leading Cloud/DevOps teams
4+ years of experience as a DevOps engineer
Hands-on experience with AWS (EKS, EC2, RDS, IAM, VPC)
Expert-level knowledge in containers and container orchestration (Kubernetes)
Scripting (Bash, Python) and infrastructure-as-code (Terraform, CloudFormation) expertise
Experience with observability platforms (Grafana, Prometheus, ELK stack, OpenTelemetry)
Strong experience authoring and tuning CI/CD pipelines (e.g., GitHub Actions)
Proven experience in incident response, troubleshooting distributed systems, and implementing corrective actions
Experience working in large-scale production environments
Bachelor’s degree in Computer Science, Telecommunications, or a relevant field