Motion Recruitment Partners, LLC
Motion Recruitment Partners, LLC

Platform Engineer

IRVING, TX, US • Posted 1 day ago • Updated 1 hour ago
Contract W2
On-site
$78 - $90/hr
Fitment

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Job Details

Skills

  • Financial Services
  • Cloud Computing
  • Finance
  • Business Intelligence
  • Regression Analysis
  • Performance Testing
  • OAuth
  • Authentication
  • Auditing
  • Bash
  • SQL
  • Java
  • Scala
  • Python
  • Scripting
  • Linux
  • Shell Scripting
  • Operating Systems
  • Performance Tuning
  • Computer Networking
  • OCP
  • Kubernetes
  • Terraform
  • Orchestration
  • Big Data
  • Data Engineering
  • Apache Spark
  • Apache Hadoop
  • Apache Hive
  • Extract
  • Transform
  • Load
  • Apache Airflow
  • Apache NiFi
  • Streaming
  • Apache Kafka
  • Apache Flink
  • Storage
  • Amazon S3
  • NetApp
  • Apache Parquet
  • Apache Avro
  • JSON
  • Computerized System Validation
  • Artificial Intelligence
  • Machine Learning (ML)
  • Training
  • Modeling
  • Amazon SageMaker
  • Data Science
  • RBAC
  • Access Control
  • Data Security
  • Encryption
  • TLS
  • SSL
  • Management
  • Regulatory Compliance
  • HIPAA
  • Systems Design
  • Microservices
  • Scalability
  • Load Balancing
  • Caching
  • Redis
  • Memcached
  • High Availability
  • Failover
  • Disaster Recovery
  • Grafana

Summary

Outstanding contract opportunity! A well-known Financial Services Company is looking for a Cloud Platform Engineer in Charlotte, NC or Iselin, NJ.

Work with the brightest minds at one of the largest financial institutions in the world. This is long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 24 Months

Primary Role: Build and maintain secure, scalable infrastructure and services.

What You Will Be Doing
  • 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 programing, performance tuning, networking
  • OCP, Kubernetes (K8s), Helm, Terraform, container orchestration and deployment

Big Data & Data Engineering
  • Frameworks: NexusOne, Apache Spark, Hadoop, Hive, Trino, Iceberg
  • ETL Tools: Apache Airflow, NiFi (good to have)
  • Data Pipelines: Batch and streaming (Kafka, Flink)
  • Object Storage: S3, NetApp StorageGrid
  • Data Formats: Parquet/Avro, ORC, JSON, CSV

AI/ML & MTC (Model Training & Consumption) (Nice to have)
  • Frameworks or LLM modeling
  • Model Ops: MLflow, Kubeflow, SageMaker
  • Data Science: Feature engineering, model deployment, inference pipelines

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)
  • Design Principles: Microservices, Event-driven architecture, Serverless
  • Scalability: Load balancing, caching (Redis, Memcached), horizontal scaling
  • High Availability: Failover strategies, disaster recovery, monitoring (Prometheus, Grafana)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 869469
  • Posted 1 day ago
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