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Primary Skills: AKANA API Management Platform (E2), Apache Kafka, Cloud & DevOps Tools
The Kafka Platform Engineer is responsible for designing, deploying, and managing scalable, secure, and highly available Kafka-based streaming platforms across hybrid environments. This role involves platform engineering, security enforcement, automation, and enabling event-driven architectures across the organization.
Design, deploy, and manage Apache Kafka clusters across on-premises, cloud, and Kubernetes environments.
Ensure high availability, fault tolerance, disaster recovery, and effective capacity planning.
Implement and maintain Kafka ecosystem components, including Kafka Connect, Schema Registry, and ksqlDB.
Automate provisioning, configuration, and lifecycle management using Terraform, Ansible, Helm, and scripting.
Configure and maintain observability solutions such as Prometheus, Grafana, Splunk, ELK, and Datadog.
Perform performance tuning, including partitioning, replication, retention policies, ISR management, and broker configurations.
Implement authentication and authorization mechanisms (SASL, ACLs, RBAC).
Enforce encryption standards for data in transit and at rest (TLS, AES).
Collaborate with governance teams to manage schema lifecycle, compatibility policies, and data standards.
Develop and maintain Kafka connectors, producers, consumers, and event-streaming pipelines.
Collaborate with application and platform teams to enable event-driven architecture adoption.
Provide architectural guidance and best practices for scalable and resilient Kafka integrations.
Diagnose and resolve issues related to Kafka brokers, ZooKeeper/KRaft, networking, and cluster performance.
Conduct root cause analysis and implement corrective/preventive actions.
Participate in on-call rotations to ensure platform uptime and SLA adherence.
Apache Kafka & Ecosystem (Kafka Connect, Schema Registry, ksqlDB)
AKANA API Management Platform
Terraform, Ansible, Helm
Kubernetes & Cloud Platforms (AWS/Azure/GCP)
Monitoring: Prometheus, Grafana, ELK, Splunk, Datadog
Security: SASL, TLS, ACLs, RBAC, Encryption Standards
Scripting: Python, Bash (preferred)
Experience with event-driven architecture and distributed systems
Strong troubleshooting and performance tuning skills
Familiarity with API management platforms and integration patterns
Experience working in Agile/DevOps environments
Strong problem-solving and analytical thinking
Effective communication and cross-team collaboration
Ability to work in high-availability, production-critical environments
