• Passion for working on deeply technical projects and wanting to work on distributed systems, concurrency & parallelism, and correctness
• 5+ years of in-depth knowledges in managing the lifecycle and operations of Kubernetes clusters in the public cloud
• Experience in shaping, managing, and deploying workloads in Kubernetes
• Strong understanding of Go
• Expert knowledge of at least one: AWS, Azure, GCP including experience with IAC both system and network infrastructure
• Understanding of stream processing
• Experience and comfortable working with a 100% distributed engineering team, collaborating on GitHub, in the open and a self-starter
• Passion to grow a culture of written tradition
• Excellent communication and interpersonal skills, capable of engaging with stakeholders at all levels of the organization

Desirable

• We are continuing to invest and grow our Go-based Connector team at Redpanda
• We are looking for a Cloud DevOps Engineer who is up for the challenge to not only build the systems and to deliver Redpanda as a world class cloud service, but also shape the technical culture that creates these systems
• In this role, you will focus on developing and maintaining our global kubernetes fleet
• You will collaborate closely with our Cloud and Core engineering teams to build robust and scalable systems, with an emphasis on stability and safe upgrades with zero downtime
• Build and maintain the Fleet Management tool stack that manages our global footprint of Kubernetes clusters
• Contribute to a Kubernetes operator to manage Redpanda clusters in a zero-downtime fashion
• Participate in an on-call escalation chain, help drive down problems that lead to on-call escalations, and help drive improving on-call quality of life
• Work with all the engineering teams on building new services to be deployed across all of our supported clouds
• Build tools & services to allow automated infrastructure provisioning and self-healing, including deployments and upgrades
• Make resilience and observability integral to the system, enabling us to run a managed, cloud-based streaming-as-a-service with >99.9% uptime