Site Reliability Engineer; Big Data

Position: Site Reliability Engineer (Big Data)
Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

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
- Red Hat Linux:
Deep knowledge of Red Hat 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 Zoo Keeper:
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