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Kafka Cloud Architect

2 months ago

Richmond, Virginia, United States INA Solution Inc Full time
Job Description

Job Title: Kafka Cloud Architect

Company: INA Solution Inc

Job Type: Full-time

Location: Remote

Duration: 6+ Months, Extendible

Experience: 10-15 Years

Key Responsibilities
  • Kafka Cluster Management: Design, deploy, and manage highly available and scalable Apache Kafka clusters to ensure seamless data processing and streaming.
  • Data Streaming Architecture: Develop and maintain real-time data streaming solutions using Kafka, Kafka Streams, and related technologies to drive business insights and decision-making.
  • Performance Optimization: Monitor and optimize Kafka clusters for performance, including tuning brokers, topics, partitions, and configurations to ensure maximum efficiency.
  • Security and Compliance: Implement and manage robust security measures for Kafka, including encryption, authentication, and authorization, to ensure data integrity and compliance with industry standards.
  • Integration: Collaborate with cross-functional teams to integrate Kafka with other systems and services, ensuring seamless data flow and exchange.
  • Monitoring and Alerts: Utilize tools such as Prometheus, Grafana, and Kafka Manager to set up monitoring, logging, and alerting for Kafka clusters, ensuring prompt issue resolution.
  • Troubleshooting and Support: Diagnose and resolve complex issues related to Kafka performance, connectivity, and data processing, ensuring minimal downtime.
  • Documentation: Create and maintain detailed documentation for Kafka configurations, processes, and best practices, ensuring knowledge sharing and consistency.
  • Innovation and Improvement: Stay up-to-date with the latest developments in Kafka and related technologies, proposing innovative solutions and improvements to drive business growth.
  • Proven experience with distributed systems, data streaming, and event-driven architectures is essential.
  • Experience with Kafka Streams, KSQL, and other Kafka ecosystem tools is highly desirable.
  • Hands-on experience with cloud platforms (AWS, Azure, Google Cloud) is a significant advantage.
Required Skills
  • Strong proficiency in Apache Kafka, including broker setup, topic management, and partitioning strategies is essential.
  • Knowledge of data serialization formats such as Avro, Protobuf, and JSON is required.
  • Experience with Linux/Unix systems and scripting (Bash, Python, etc.) is necessary.
  • Familiarity with DevOps practices and tools like Docker, Kubernetes, CI/CD pipelines, and Terraform is highly desirable.
  • Experience with monitoring tools (Prometheus, Grafana) and logging tools (Elasticsearch, Logstash, Kibana) is essential.