Big Data Platform Engineer / BD Site Reliability Engineer (SRE) - Job Requirements
Position Overview
We are seeking a Big Data Platform 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.
Key Responsibilities
- 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
- Travel Requirements: Willingness to travel to customer sites as needed for installations, upgrades, and critical issue resolution
- 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
Required Technical Skills
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 (Required)
- 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
Preferred (Bonus) Skills
- Kubernetes: Container orchestration and cloud-native deployments
- Vanilla, Open Shift, RKE
- Harbor: Container registry management
- Longhorn: Distributed storage solutions
Work Environment & Requirements
- Hybrid Role: Mix of remote work and customer site visits
- Travel: Must be willing and able to travel to customer sites domestically and potentially internationally
- Availability: Flexible schedule including weekend emergency support capability
- Customer-Facing: Strong communication skills for direct customer interaction during installations and support
Ideal Candidate Profile
- 3-10 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
Skills Required
- 3-5 years experience with big data infrastructure and automation
- Advanced proficiency in Ansible playbook development
- Strong shell scripting capabilities with Bash
- Solid programming skills in Python
- Deep knowledge of RedHat Enterprise Linux
- Experience with CI/CD pipelines using Jenkins
- Cluster configuration and tuning using Apache Spark
- Resource management with YARN
- Management of HDFS
- Deployment and maintenance of Apache Kafka
- Configuration and management of Apache ZooKeeper
- Willingness to travel for site installations and upgrades
Cognyte Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognyte and has not been reviewed or approved by Cognyte.
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Healthcare Strength — Health coverage spans medical, dental, vision, disability, life insurance, mental‑health support, and FSA options. Coverage is generally portrayed as solid within a well‑rounded package.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, floating holidays, wellness days, and paid volunteer time. These elements indicate a comprehensive time‑off offering.
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Wellbeing & Lifestyle Benefits — Work setup includes flexible schedules and hybrid/remote options highlighted across public materials. Flexibility is emphasized alongside the core benefits offering.
Cognyte Insights
What We Do
Cognyte is a leading software-driven technology company focused on solutions for data processing and investigative analytics that allow customers to generate Actionable Intelligence for a Safer World™. We empower law enforcement, national security, national and military intelligence agencies, and other organizations to navigate an increasingly complex threat landscape with greater speed, accuracy, and precision.
Why Work With Us
Driven by curiosity and a purpose with real-world impact, we place innovation at the core as we tackle complex, fascinating challenges where bold questions forge real breakthroughs.
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