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Job Summary
We are looking for an engineer to join our team to help build and maintain Kafka-basedJob Description
Core Responsibilities:
• Develop, maintain, and optimize Kafka-based applications and event streaming pipelines using Java (Spring / Spring Boot), Python, or .NET.
• Work with distributed systems concepts: partitions, replication, fault-tolerance, scaling, and event-driven architectures.
• Contribute to provisioning, managing, and securing Kafka clusters both on-prem and in Confluent Cloud.
• Implement and maintain security and authorization mechanisms, including ACLs, Kerberos, SSL, and OAuth for Confluent Cloud.
• Automate infrastructure deployment and configuration using Terraform, Ansible, CloudFormation, Docker, or Kubernetes.
• Configure, monitor, and maintain observability for Kafka clusters, including metrics, alerts, and dashboards (e.g., Prometheus, Grafana, Confluent Control Center, ElasticSearch).
• Assist in troubleshooting production issues and perform root cause analysis.
• Collaborate closely with developers, DevOps/SRE teams, and other stakeholders to ensure reliable and performant streaming systems.
• Contribute to best practices for connector configuration, high availability, disaster recovery, and performance tuning, including streaming applications and pipelines built with Kafka Streams, ksqlDB, Apache Flink, and TableFlow.
Required Skills:
• Strong programming experience in Java(Spring / Spring Boot), Python, or .NET. Ability to write clean, maintainable, and performant code.
• Solid understanding of distributed systems principles and event-driven architectures.
• Hands-on experience with Kafka in production or strong ability to learn quickly.
• Knowledge of Kafka ecosystem components (Connect, Schema Registry, KSQL, MirrorMaker, Control Center, Kafka Streams, Apache Flink, TableFlow) is a plus.
• Familiarity with security best practices for Kafka, including ACLs, Kerberos, SSL, and OAuth.
• Experience with infrastructure as code and containerized environments.
• Experience with monitoring and observability tools for distributed systems.
Desirable Skills / Bonus Points:
• Experience with Confluent Cloud or other managed Kafka platforms.
• Experience with AWS
• Experience building streaming pipelines across multiple systems and environments.
• Familiarity with CI/CD pipelines and automated deployments.
Behavioural / Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and prioritize across multiple BAU and project tasks.
• Product-minded approach, focusing on delivering value and scalable solutions.
Education
Bachelor's Degree: Information Technology