Associate Professional MW Messaging Infrastructure Engineer - Kafka & SwaggerHub

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JOB DESCRIPTION – MW MESSAGING INFRASTRUCTURE ENGINEER

Technology / Tools:Kafka \& SwaggerHub

Designation / Level:4 Associate Professional

Experience Required:7\-10 years

ROLE SUMMARY

The Associate Professional Middleware Messaging Infrastructure Engineer with expertise in Kafka and SwaggerHub is responsible for managing event streaming infrastructure and API documentation platforms. This role supports the integration of real\-time messaging with API\-first development practices using SwaggerHub.

KEY RESPONSIBILITIES

• Manage and operate Apache Kafka clusters for enterprise event streaming and messaging workloads
• Administer SwaggerHub for centralized API design, documentation, and governance
• Collaborate with API and integration teams to align Kafka event schemas with OpenAPI specifications
• Monitor messaging pipelines and API gateway interactions for performance and reliability
• Implement Kafka security policies and SwaggerHub access controls and versioning workflows
• Support API lifecycle management including design reviews, publishing, and deprecation workflows
• Troubleshoot Kafka consumer issues and SwaggerHub integration problems with development teams
• Maintain documentation, runbooks, and operational procedures for both platforms

REQUIRED SKILLS \& EXPERIENCE

• 7\-10 years of experience in middleware and integration engineering
• Strong hands\-on experience with Apache Kafka (topics, consumers, connectors)
• Experience with SwaggerHub or OpenAPI/Swagger\-based API design and documentation tools
• Understanding of RESTful API design principles and API governance frameworks
• Proficiency in Unix/Linux, Python, and automation scripting
• Knowledge of API gateway platforms and how they interact with messaging systems
• Familiarity with CI/CD pipelines and DevOps toolchains

GOOD TO HAVE

• Experience with AsyncAPI specification for event\-driven API documentation
• Knowledge of API monetization and developer portal management
• Exposure to cloud\-native Kafka (Confluent Cloud, AWS MSK)

EDUCATION \& QUALIFICATIONS

• Bachelor's degree in Computer Science or related field
• Relevant API or Kafka certifications are advantageous

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