Platform Engineer

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)
  
  

Posted By: Natalie DeWitt