Manager( Java with Kafka)

About the Role

• Design, build, and maintain core components of our centralized Kafka platform using

  Java (Springboot)

  and

  Kafka APIs

• Automate Kafka cluster provisioning, configuration, monitoring, and scaling using Kubernetes and CI/CD practices
• Implement governance controls around topic lifecycle, quotas, schema registry, and access management
• Collaborate with internal teams to understand use cases and provide guidance on best practices
• Write clean, testable, and well-documented code adhering to design patterns and architectural standards
• Contribute to platform observability (metrics, logs, traces) and alerting mechanisms
• Troubleshoot complex Kafka issues at the broker, producer, and consumer level and contribute on incident management and root cause analysis
• Participate in design and code reviews, ensuring maintainability and performance

Required Skills and Experience

• 10+ years of

  Java software engineering

  experience with strong object-oriented design and development skills
• 6+ years of

  Kafka administration experience

  in a production-grade, multi-tenant setup
• 7+ years of experience in

  development and/or administration of public/private cloud

• Solid understanding of Kafka internals including topics, partitions, consumer groups, offsets, retention policies, etc.
• Hands-on experience with Kafka tooling: MirrorMaker, Schema Registry, Kafka Connect, Cruise Control, etc.
• Experience with deploying on

  Kubernetes

  and using

  Helm

  ,

  Terraform

  , or similar tools
• Good understanding of observability and monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry)
• Strong collaborator with excellent communication skills and a commitment to team success
• Proven ability to deliver results on tight timelines and manage competing priorities

Preferred Qualifications

• Experience working with

  Confluent Platform

  or

  Strimzi Operator

• Knowledge of RESTful API development and service-oriented architecture
• Familiarity with CI/CD pipelines using GitHub Actions, Jenkins, or similar tools
• Exposure to cloud environments (AWS, Azure, or GCP)