Core Platform Engineer

Overview

Outstanding contract opportunity! A well-known Financial Services Company is looking for a Core 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.

• 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.

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

Big Data & Data Engineering

• Frameworks
  :
  Nexus One, Apache Spark, Hadoop, Hive, Trino, Iceberg
• ETL Tools
  :
  Apache Airflow, NiFi (good to have)
• Data Pipelines
  :
  Batch and streaming (Kafka, Flink)
• Object Storage
  : S3, Net App Storage Grid
• Data Formats
  :
  Parquet/Avro, ORC, JSON, CSV

• Frameworks or LLM modeling
• Model Ops
  : MLflow, Kubeflow, Sage Maker
• Data Science
  :
  Feature engineering, model deployment, inference pipelines

• 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

• Design Principles
  :
  Microservices, Event-driven architecture, Serverless
• Scalability
  :
  Load balancing, caching (Redis, Memcached), horizontal scaling
• High Availability
  :
  Failover strategies, disaster recovery, monitoring (Prometheus, Grafana)