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Platform Engineer - Core

Job in Woodbridge Township, Middlesex County, New Jersey, USA
Listing for: Motion
Full Time position
Listed on 2026-01-25
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Cybersecurity, Data Security
Salary/Wage Range or Industry Benchmark: 90 USD Hourly USD 90.00 HOUR
Job Description & How to Apply Below

Overview

We are looking for Core Platform Engineers in Charlotte, NC or Iselin, NJ.

Contract Duration: 24 Months

Pay Rate: $90/hr on W2

If interested, please email your resume to grace.


Please Note:
Client is not open to C2C, H1B, TN Visa, 1099, F1 – CPT & OPT at this time

Primary Role:

  • Build and maintain secure, scalable infrastructure and services.
  • Support a highly available and scalable infrastructure containing Object storage, Openshift, Spark, Iceberg, Yunikorn, Trino
  • Monitor for configuration drift and enforce infrastructure policies.
  • Configure and monitor Big Data ecosystem components with various BI tools, observability tools etc.
  • Build automated regression and performance test suite to ensure health checks of all components of the platform
  • Monitor system health and enforce runtime policies
  • Implement and manage security protocols, including OAuth authentication, TLS encryption, and role-based access control (RBAC).
  • Conduct regular maintenance, including cluster scaling, perform regular security audits.

Required Skills

  • Programming & Scripting
    • Languages:

      Python, Bash, Shell, SQL, Java (basic), Scala (for big data, good to have)
    • Automation & Scripting:
      Python scripting for automation, Linux shell scripting
  • Operating Systems & Containers
    • System programming, performance tuning, networking
    • OCP, Kubernetes (K8s), Helm, Terraform, container orchestration and deployment
    • Frameworks:
      Nexus One, Apache Spark, Hadoop, Hive, Trino, Iceberg
    • ETL Tools:
      Apache Airflow, NiFi (good to have)
    • Data Pipelines:
      Batch and streaming (Kafka, Flink)
  • Frameworks or LLM modeling
  • Security & Access Control
    • Access Models: RBAC (Role-Based Access Control), ABAC (Attribute-Based Access Control)
    • Data Protection:
      Encryption at rest and in transit, TLS/SSL, KMS (Key Management Services)
    • Compliance: GDPR, HIPAA (if applicable), IAM policies
  • System Design & Architecture (good to have, at least at a conceptual level)
    • Scalability:
      Load balancing, caching (Redis, Memcached), horizontal scaling
    • High Availability:
      Failover strategies, disaster recovery, monitoring (Prometheus, Grafana)
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