DevOps Team Lead

Description Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets. Trusted by some of the world’s most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victoria’s Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC. Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. We’re a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work. We are seeking a highly skilled and experienced DevOps Team Lead to join our dynamic team. As the DevOps Team Lead, you will be responsible for leading and managing a global team of DevOps engineers, driving our cloud-native infrastructure, and ensuring the reliability, scalability, and security of our production environments. Key Responsibilities: Lead and manage a global team of 5 DevOps engineers, fostering collaboration, mentorship, and professional growth Design, implement, and optimize cloud-native architectures using AWS services Manage and scale our Kubernetes (K8S) clusters to support our microservices architecture Drive the implementation of CI/CD pipelines and infrastructure-as-code practices Ensure high availability, performance, and security of our production environments Collaborate with development, product, and security teams to align DevOps practices with business goals Continuously improve our DevOps processes, tools, and methodologies Requirements At least 3+ years of experience leading and managing a global DevOps team At least 5+ years of hands-on DevOps experience in production environments At least 5+ years of experience with AWS services (EC2, EKS, S3, RDS, SCP etc.) Proven experience in High scale production environment Expert knowledge of Kubernetes (K8S) and container orchestration, including completion tools Strong scripting skills (Python, Bash, etc.) and experience with infrastructure-as-code (Terraform, CloudFormation) Experience with CI/CD tools (Jenkins, GitLab CI, etc.) and version control systems (Git) Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack, APM monitoring) AWS certifications (Solutions Architect, DevOps Engineer) Experience with serverless architectures (AWS Lambda, API Gateway) Knowledge of security best practices and compliance frameworks (ISO 27001, SOC 2) Experience with GitOps methodologies and tools (ArgoCD, Helm, admission control) AI Knowledge Requirements: Hands-on experience with modern AI technologies, including MCP, agentic systems, multi-agent orchestration, RAG pipelines, and prompt engineering. Experience integrating AI capabilities into CI/CD workflows, cloud environments, and DevOps automation. Experience leveraging AI tools and agents to improve engineering productivity, observability, and operational workflows.