Kafka Platform Engineer - Real-Time Streaming & Cloud

Barclays

Knutsford

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

Barclays seeks a Kafka Platform Engineer to design, implement and maintain enterprise-scale Confluent Kafka platforms across multi-region deployments in Knutsford or Northampton. You will build secure, resilient streaming solutions, automate infrastructure with IaC, and collaborate with security, architecture and ops teams to improve reliability and data movement.

The role emphasizes cloud-native technologies, Kubernetes, and event-driven architectures at enterprise scale, with emphasis on

Qualifications

  • Expertise designing, implementing and operating enterprise Kafka platforms.
  • Experience building secure, resilient streaming solutions across regions and cloud environments.
  • Strong knowledge of distributed systems, event-driven architecture and IaC practices.
  • Developing and enhancing Kafka security capabilities (RBAC, ACLs, OAuth, SSL/TLS).

Responsibilities

  • Develop and deliver scalable software using modern languages and frameworks with focus on performance.
  • Collaborate with product, architecture, security, and infrastructure to align requirements and delivery.
  • Review code and promote best practices to ensure quality and security.
  • Stay updated on industry trends and contribute to technology communities.
  • Adhere to secure coding practices and implement robust unit tests.

Skills

Confluent Kafka
Multi-region deployments
IaC / automation
Kafka security
ksqlDB

Tools

Kafka Connect
Schema Registry
ksqlDB
Terraform
Kubernetes

Job description

Barclays seeks a Kafka Platform Engineer to design, implement and maintain enterprise-scale Confluent Kafka platforms across multi-region deployments in Knutsford or Northampton. You will build secure, resilient streaming solutions, automate infrastructure with IaC, and collaborate with security, architecture and ops teams to improve reliability and data movement.

The role emphasizes cloud-native technologies, Kubernetes, and event-driven architectures at enterprise scale, with emphasis on

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