Senior Data Platform Engineer
Mirantis (company site, opens in a new tab)10+ yrsRemoteDirect career pageEst. 35–60 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, deploy, and operate the production event-streaming platform on Kubernetes for the multi-tenant GPU infrastructure control plane.
- Own and automate end-to-end data pipelines including change-data-capture, connectors, schema governance, and platform onboarding tooling with infrastructure as code.
- Ensure reliability, security, observability, and delivery guarantees of the event-streaming pipeline, supporting analytics, billing, and monitoring systems.
Minimum Requirements
- 10+ years of experience in software, data, or platform engineering with hands-on ownership of production event-streaming platforms.
- Expert-level skills in Apache Kafka, Kafka Connect, schema registry and compatibility management, along with strong programming skills in Java, Python, or Go.
- Proficiency in Kubernetes deployment and operation of stateful workloads and infrastructure as code using Terraform or equivalent.
- Bachelor's degree in Computer Science & Engineering or related field OR 10 years equivalent experience.
Ideal Candidate Profile
- Experienced in managing large-scale, production Kafka deployments with multi-tenant, secure architectures.
- Skilled in complex data pipeline design integrating CDC, connectors, and analytical data stores with automated self-service capabilities.
- Familiar with cloud environments (AWS or GCP), Kubernetes-native tooling, infrastructure automation, and observability best practices across global, agile teams.