Big Data Platform Engineer / BD Site Reliability Engineer (SRE)

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.

Requirements

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.