Senior DevOps Architect
כדי להגיש, לשמור או לפתוח את דף המשרה מתחברים עם Google. זה חינם, ואחרי ההתחברות חוזרים ישר למשרה הזו.
תקציר
Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and machine learning to combine data intelligence with performance media, enabling smarter decision-making, increased efficiency, and maximized returns for businesses around the world.
דרישות
- 3+ years experience as DevOps Architect, owning architecture and leading technical initiatives across multiple teams, with 8+ years of overall experience in infrastructure, DevOps, platform engineering, or software engineering.
- 5+ years of hands-on programming experience in languages such as Python, Go, or Java, including designing and maintaining production services, APIs, or shared engineering tools.
- Demonstrated experience architecting distributed production systems, including defining service boundaries, selecting technologies, documenting trade-offs, and leading implementation and migration.
- Deep expertise in at least one major cloud platform AWS, GCP, or Azure and hands-on experience with Kubernetes, infrastructure as code tools such as Terraform, and CI/CD or GitOps tooling such as Jenkins, GitHub Actions, or Argo CD.
- Experience designing developer platforms, reusable infrastructure components, and self-service workflows adopted by multiple engineering teams.
- Strong understanding of networking, cloud security, observability, high availability, and disaster recovery, supported by experience operating and troubleshooting production systems.
- Proven experience building and deploying AI services and agents to production, including model integration, orchestration, tool calling, evaluation, and integration with internal or external systems.
- Experience defining technical requirements with stakeholders, presenting architectural proposals, and leading cross-team decisions through implementation and adoption.
- Experience designing and operating data infrastructure, including streaming, workflow orchestration, and large-scale processing with technologies such as Kafka, Airflow, or Spark. (advantage)
- Experience with database, data warehouse, or data lake architecture and operations, including performance tuning, capacity planning, backup and recovery, and data reliability. (advantage)
- Experience building shared AI platforms or delivering both internal automation agents and customer-facing AI services. (advantage)