Big Data Platform / Infrastructure Engineer

TL;DR

Big Data Platform / Infrastructure Engineer (Big Data): Building, maintaining, and securing a highly available, scalable big data and analytics infrastructure with an accent on core platform components, enforcing infrastructure standards, and ensuring system performance, reliability, and security. Focus on automated regression and performance testing suites, implementing and managing security protocols, and platform reliability.

Location: Onsite in Iselin, NJ

Company

hirify.global provides staff augmentation and direct hire services.

What you will do

• Build and maintain secure, scalable infrastructure and platform services.
• Support highly available big data ecosystem components including Object Storage, OpenShift, Spark, Iceberg, Yunikorn, and Trino.
• Monitor and remediate configuration drift while enforcing infrastructure and security policies.
• Configure, monitor, and optimize big data platform components and integrations with BI and observability tools.
• Implement and manage security protocols including OAuth authentication, TLS encryption, and role-based access control (RBAC).
• Support platform reliability, performance tuning, and operational best practices.

Requirements

• Experience supporting large-scale data or platform infrastructure environments.
• Hands-on experience with containerized or cloud-native platforms (e.g., OpenShift or Kubernetes-based environments).
• Experience working with big data technologies such as Spark, Trino, or similar distributed processing/query engines.
• Strong understanding of infrastructure monitoring, observability, and performance optimization.
• Experience implementing enterprise security controls (OAuth, TLS, RBAC).

Nice to have

• Experience with Iceberg or modern data lake table formats.
• Experience with resource schedulers such as Yunikorn or similar.
• Experience building automated testing frameworks for infrastructure or platform validation.
• Experience integrating BI tools with big data platforms.