Requirements:

There is an increased desire for more near real-time data supporting event-driven architectures and delivery of support. As a Kafka engineer, you know that organizing data streams and events can yield pivotal insights when it’s gathered from disparate sources. We need an experienced Kafka engineer like you to help our clients deliver the critical data supporting our business processing through fine tuning, optimizing and providing better insights into the performance of the data streams and topics .
As a Kafka engineer you’ll implement data streaming engineering activities. You’ll deploy and develop pipelines, connectors and platforms that organize and make disparate data meaningful.
Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and metric driven Site reliability engineering while you manage the scalable platforms for your clients.

You Have:

5+ years of experience Linux operating systems
5+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale
3+ years of experience with GCP technologies
3+ years of experience as a Confluent or Apache Kafka Administrator
3+ years of experience with installing, upgrading, maintaining and supporting Kafka
Experience with DevOps tooling for Infrastructure-as-Code like Ansible to create the Kafka platform on Kubernetes
Experience with logging, monitoring, alerting for a Kafka platform utilizing tools like ELK, Grafana, Prometheus, AppDynamics
Experience with developing and implement procedures that enhance the performance of the Kafka platform

Nice If You Have:

Experience with Python, SQL
Experience with Agile engineering practices
Experience creating solutions within a collaborative, cross-functional team environment

Kafka Solutions Engineer