We are seeking an SRE Big Data Engineer to support our enterprise customers' big data infrastructure deployments and operations.

This role requires a hands-on technical professional who can work both remotely and on-site at customer locations, including weekend emergency support when critical issues arise.

As a Cognyter you will : .

- Customer Site Support : Provide ongoing technical support for customer big data clusters and installations.

- Installation & Upgrades : Lead and support installation/upgrade projects both remotely (back office support) and on-premises at customer sites.

- Emergency Response : Available for weekend/after-hours support during customer site crises.

- Installation Code Development : Develop, maintain, and fix installation automation scripts and tools.

- CI/CD Pipeline Management : Build and maintain continuous integration/deployment pipelines.

- Monitoring Solutions : Develop and enhance monitoring tools for big data infrastructure.

For that mission you'll need : .

- 3-5 years experience with big data infrastructure and automation.

- Proven track record in customer-facing technical roles.

- Strong problem-solving skills under pressure.

- Self-motivated with ability to work independently at customer sites.

- Willingness to travel to customer sites as needed for installations, upgrades, and critical issue resolution.

Core Infrastructure & Automation :

- Ansible : Advanced proficiency in playbook development and infrastructure automation.

- Bash : Strong shell scripting capabilities for system administration and deployment.

- Python : Solid programming skills for automation tools and utilities development.

- RedHat Linux : Deep knowledge of RedHat Enterprise Linux distribution, system administration, and package management.

CI/CD & Virtualization :

- Jenkins : Experience building and maintaining CI/CD pipelines.

- VMware vSphere : Virtual infrastructure management and deployment.

Big Data Ecosystem :

- Apache Spark : Cluster configuration, tuning, and troubleshooting.

- YARN : Resource management and cluster administration.

- HDFS : Distributed file system management and optimization.

- Apache Kafka : Streaming platform deployment and maintenance.

- Apache ZooKeeper : Coordination service configuration and management.

Will be considered an advantage :

- Kubernetes : Container orchestration and cloud-native deployments.

- Vanilla, Open Shift, RKE.

- Harbor : Container registry management.

- Longhorn : Distributed storage solutions.