Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Backed by Insight and Sapphire.
About the role
Design, deploy, and operate the production streaming platform on Kubernetes — cluster lifecycle, topics, partitioning and retention strategy, capacity planning, and upgrades. Build and maintain change-data-capture and connector pipelines moving data between operational databases, the streaming layer, and analytical stores.
What they're looking for
- 10+ years in software, data, or platform engineering, including deep hands-on ownership of a production event-streaming platform
- Expert-level Apache Kafka (or Confluent Platform/Cloud) — administration, tuning, troubleshooting, and capacity management at production scale
- Strong Kafka Connect and CDC experience — Debezium, JDBC, and custom connector or transformation development
- Proven schema-registry practice and compatibility management across many independent producers and consumers
- Solid programming ability in Java, Python, or Go — enough to build connectors, transformations, and platform tooling, not only configure them
- Strong SQL and relational database knowledge (PostgreSQL, MySQL, or equivalent), including replication and CDC mechanics
More about this role
We are looking for an experienced data platform engineer to own the event-streaming backbone behind the k0rdent-ai platform — the multi-tenant control plane for enterprise GPU infrastructure. Every cluster provisioned, every GPU-hour consumed, and every tenant action produces events that must move reliably from our services into analytics, billing, observability, and downstream systems. You will design and operate that pipeline end to end: the streaming platform itself, the connectors and change-data-capture flows that feed it, the schemas that keep producers and consumers compatible, and the automation that lets product teams onboard themselves without waiting on you. Working within an agile framework alongside engineering teams across the US, Europe, and India, you will make event data a dependable product surface rather than a best-effort side channel.
Design, deploy, and operate the production streaming platform on Kubernetes — cluster lifecycle, topics, partitioning and retention strategy, capacity planning, and upgrades.
Build and maintain change-data-capture and connector pipelines moving data between operational databases, the streaming layer, and analytical stores.
Own...
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