Kafka Architecture Specialist

2 weeks ago

Hyderabad, Telangana, India Alignity Solutions Full time
Job Summary

We are seeking a highly skilled Kafka Subject Matter Expert (SME) to lead the architecture, management, and scaling of Kafka environments in 24x7 production settings. The ideal candidate will have a deep understanding of Apache Kafka, a proven track record of resolving complex production and non-production issues, and strong leadership capabilities.

Key Responsibilities:
  • Kafka Management:
    • Design, build, manage, and upgrade Kafka clusters in production and non-production environments.
    • Ensure the Kafka infrastructure supports 24x7 availability for mission-critical, customer-facing applications.
    • Monitor Kafka performance and proactively address issues related to scalability, availability, and performance.
  • Incident Management:
    • Troubleshoot and resolve complex Kafka-related production incidents in a timely and efficient manner.
    • Implement strategies to reduce incident resolution time and improve the reliability of Kafka services.
    • Provide root cause analysis and implement long-term fixes for recurring issues.
  • Leadership & Mentoring:
    • Act as a technical leader for Kafka-related projects and initiatives, guiding and mentoring fellow engineers.
    • Lead the efforts in managing, upgrading, and scaling Kafka infrastructure across multiple environments.
    • Provide technical direction and input for key business and infrastructure initiatives, ensuring best practices are followed.
  • Infrastructure as Code (IaC):
    • Develop and maintain Infrastructure as Code (IaC) using Terraform, Helm, and optionally Ansible, to automate Kafka cluster provisioning, scaling, and management.
    • Ensure that Kafka infrastructure is fully automated and scalable, adhering to DevOps and Agile methodologies.
  • Operational Excellence:
    • Establish and follow standard operating procedures for managing Kafka clusters, including patching, upgrading, and scaling.
    • Implement Kafka monitoring and alerting tools to ensure continuous health checks and performance monitoring.
    • Collaborate with DevOps and development teams to integrate Kafka into CI/CD pipelines and ensure seamless delivery of updates and features.
  • Documentation & Continuous Improvement:
    • Maintain comprehensive documentation for Kafka infrastructure, including architectural diagrams, operational processes, and troubleshooting guides.
    • Continuously improve Kafka operations by adopting the latest tools, technologies, and best practices to drive performance and cost efficiency.
Requirements
  • Kafka Expertise: Extensive hands-on experience with Apache Kafka, including Kafka architecture, configuration, and performance tuning.
  • Production Environment Experience: Proven ability to manage Kafka clusters in high-demand, 24x7 customer-facing production environments.
  • Incident Management: Strong experience in diagnosing, troubleshooting, and resolving complex production and non-production incidents in the shortest time possible.
  • Leadership Skills: Ability to lead a team of engineers, provide technical guidance, and mentor junior team members.
  • IaC Expertise: Proficiency in Infrastructure as Code (IaC) using tools like Terraform, Helm, and optionally Ansible.
  • Automation & Monitoring: Experience with automating Kafka operations and using monitoring tools to track the health and performance of Kafka clusters.
  • Problem Solving: Strong analytical and problem-solving skills with the ability to think critically and provide innovative solutions.
  • Self-Motivation: Highly self-organized, motivated, and able to work independently with minimal supervision.
  • Collaboration: Strong communication and collaboration skills, with the ability to work in a fast-paced, cross-functional environment.
Preferred Qualifications:
  • Experience with Ansible: Experience using Ansible for Kafka automation and configuration management is a plus.
  • Cloud Platforms: Familiarity with deploying and managing Kafka in cloud environments such as AWS, Azure, or Google Cloud.
  • DevOps & CI/CD: Hands-on experience integrating Kafka with CI/CD pipelines and DevOps practices.
  • Scripting & Automation: Proficiency in scripting languages such as Python, Bash, or Java for Kafka-related automation tasks.
Benefits

Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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