
Kafka Engineer
Posted Jul 15

Posted Jul 15
This is a fully remote position, open to applicants in Virginia.
• Design, construct, manage, and sustain Kafka clusters across development, testing, and production settings.
• Oversee Kafka topics, partitions, brokers, replication, retention policies, and access controls.
• Monitor the performance, availability, throughput, and latency of Kafka; proactively identify and address issues.
• Conduct capacity planning, tuning, upgrades, patching, and disaster recovery planning for Kafka environments.
• Implement and uphold high availability and fault-tolerant configurations for Kafka.
• Develop and support event streaming pipelines utilizing Kafka for real-time and near-real-time data processing.
• Integrate Kafka with API Gateway (APIGW) based microservices and downstream backend systems.
• Design and implement Kafka producers, consumers, and connectors (e.g., Kafka Connect) to cater to system integration and ETL/data movement requirements.
• Collaborate with application teams to establish event schemas, topics, and data contracts.
• Ensure dependable message delivery, data integrity, and error handling throughout streaming workflows.
• Enforce Kafka security best practices, encompassing authentication, authorization, encryption in transit, and auditing.
• Guarantee that Kafka implementations adhere to CMS security, data governance, and operational standards.
• Support DevSecOps practices, CI/CD pipelines, and infrastructure-as-code methodologies wherever applicable.
• Engage in incident response, root cause analysis, and operational readiness initiatives.
• Collaborate closely with architects, developers, DevOps engineers, and system administrators to facilitate solution design and delivery.
• Document Kafka architectures, configurations, operational procedures, and integration patterns.
• Offer technical guidance, troubleshooting assistance, and knowledge transfer to internal teams.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.
• A minimum of 3 years of experience in developing, administering, and supporting Apache Kafka in enterprise environments.
• Practical experience in managing Kafka clusters, topics, partitions, and event streaming pipelines.
• Familiarity with integrating Kafka with microservices, API Gateways (APIGW), and backend systems.
• Strong grasp of event-driven architectures, messaging patterns, and data streaming principles.
• Experience with Linux-based environments and command-line management.
• Excellent troubleshooting and performance tuning abilities.
• Capability to articulate technical concepts clearly to both technical and non-technical audiences.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible work arrangements.
• Opportunities for professional development and continuing education.
• Collaborative and inclusive work environment.
3M Consultancy
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