Required for a fulltime, six moth, fully remote contract, a highly skilled Data Platform Engineer to support our distributed streaming platform for handling Real Time streaming data. This role is ideal for someone with deep expertise in Kafka, Kubernetes and microservices, also cloud platforms like Google Cloud Platform (GCP) or Microsoft Azure. You'll play a key role in designing, deploying, and optimizing scalable, Real Time data pipelines in a cloud-native environment.

Key Responsibilities:

• Design, deploy, and manage Kafka clusters in GCP or Azure environments
• Operate and maintain Kafka on Kubernetes using Helm, Operators, or custom configurations
• Collaborate with cross-functional teams in building data pipelines, integrating with Kafka and building microservices
• Monitor, troubleshoot, and optimize Kafka performance and reliability
• Automate infrastructure and deployment processes using Infrastructure-as-Code tools
• Ensure security, compliance, and high availability of Kafka systems

Qualifications:

• Strong hands-on experience with Apache Kafka in production environments
• Proficiency with Kubernetes (GKE, AKS, or self-managed clusters)
• Solid understanding of cloud infrastructure in GCP and/or Azure
• Experience with CI/CD pipelines and DevOps practices
• Strong programming skills in Python, Java, or similar languages
• Familiarity with monitoring tools (eg, Prometheus, Grafana) and logging systems
• Excellent communication and documentation skills

Preferred Qualifications:

• Experience with Confluent Platform or Confluent Cloud
• Knowledge of Terraform, Helm, or other IaC tools
• Background in stream processing (Kafka Streams, RabbitMQ Streams, Flink, RocksDB, etc.)
• Certifications in GCP, Azure, or Kubernetes (CKA/CKAD)
• Experience working in agile, cross-functional teams

To arrange a Teams-based interview, please email in the first instance, your CV to (see below)

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