At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!
You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.
These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.
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.
As a Cognyter, you will:
- Provide technical support for customer big data platforms and production environments.
- Lead and support software installation, upgrades, and maintenance activities remotely and on customer sites.
- Develop and maintain installation automation tools, deployment scripts, and infrastructure solutions.
- Build and support CI/CD pipelines and monitoring capabilities for big data environments.
- Troubleshoot and resolve complex infrastructure and platform issues.
- Participate in after-hours or weekend support activities during critical customer incidents.
- Collaborate directly with customers to ensure successful deployment and operational stability.
Required Technical Skills
- Core Infrastructure & Automation: Strong experience with Ansible, Bash, Python, and Red Hat Linux for infrastructure automation, system administration, deployment, and operational support.
- CI/CD & Virtualization: Hands-on experience with Jenkins for CI/CD pipeline management and VMware vSphere for virtual infrastructure deployment and administration.
- Big Data Ecosystem (Required): Proven expertise in Apache Spark, YARN, HDFS, Apache Kafka, and Apache ZooKeeper, including cluster management, performance optimization, troubleshooting, and operational support.
- Experience with Kubernetes (Vanilla Kubernetes, OpenShift, RKE), Harbor, and Longhorn in containerized and cloud-native environments.
- Hybrid role involving remote support and customer site engagements, with willingness to travel for installations, upgrades, and critical issue resolution.
- Flexible to provide after-hours or weekend support during customer emergencies and production incidents.
- Strong customer-facing communication and collaboration skills.
- 3-10 years of experience in big data infrastructure, platform operations, automation, or DevOps environments.
- Proven success in customer-facing technical roles with strong analytical, troubleshooting, and problem-solving capabilities.
- Self-driven professional capable of working independently while delivering high-quality customer support and project outcomes.
Skills Required
- 3-10 years of experience in big data infrastructure, platform operations, automation, or DevOps environments
- Strong experience with Ansible, Bash, Python, and Red Hat Linux
- Hands-on experience with Jenkins and VMware vSphere
- Proven expertise with Apache Spark, YARN, HDFS, Apache Kafka, and Apache ZooKeeper
- Experience with Kubernetes, OpenShift, RKE, Harbor, and Longhorn
- Willingness to travel for installations, upgrades, and critical issue resolution
- Flexibility to provide after-hours or weekend support during customer emergencies
- Strong customer-facing communication, analytical, troubleshooting, and problem-solving skills
- Ability to work independently while delivering customer support and project outcomes
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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