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Kafka Solutions Architect

1 week ago

City of Greater Geelong, Australia Capgemini Full time
About Our Company

Capgemini is a global leader in consulting, technology, and outsourcing services.

We deliver innovative solutions that help our clients achieve their goals and improve their performance.

We have a strong commitment to diversity, equity, and inclusion, and strive to create a culture that fosters creativity, collaboration, and innovation.

Job Requirements

To excel in this role, you will need:

  • 10+ years of industry experience.
  • Confluent Certified Administrator/Developer or equivalent certifications.
  • Expertise in tuning, monitoring, and troubleshooting Kafka clusters using tools like Grafana, Prometheus, Datadog, or Splunk.
  • Experience in data governance and compliance (GDPR, HIPAA, PCI-DSS) for streaming data.
  • Minimum 4 years of hands-on experience with Azure, GCP, or AWS (Azure or GCP preferred).
  • At least 2 years of experience as a Cloud Infrastructure Architect.
  • Proven experience in automating infrastructure provisioning (compute, networking, storage) and utilizing DevOps tools such as Terraform, CloudFormation, Helm/Draft.
  • Strong knowledge of IT security practices like identity and access management, data protection, encryption, and certificate/key management.
  • Understanding of cloud architecture concepts for compute, storage, networking, load balancing, security, and containers.
  • Hands-on experience with cloud networking.
  • An Azure/GCP/AWS certification is a plus.
  • Proficient in Python and open-source tools to support continuous deployment.
Key Responsibilities

Your key responsibilities will include:

  • Architecting and designing scalable, secure, and high-performance data streaming infrastructures using Confluent Cloud and Apache Kafka.
  • Managing cloud services such as storage, servers, and networks.
  • Integrating Confluent Cloud with cloud platforms (Azure, GCP, or AWS) and enterprise applications.
  • Ensuring high availability, disaster recovery, and fault tolerance for Kafka-based architectures.
  • Leading and implementing cloud security requirements across the infrastructure.
  • Strategizing and guiding DevOps and site reliability engineering efforts.
  • Estimating and planning resources for specific modules using best practices in resource planning.