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Platform Engineer

$60 per hour

Openkyber

Role : Core Platform Engineer



Location : Charlotte-Concord-Gastonia, NC-SC (Hybrid)



Rate: $60/hr



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



Responsibilities: 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 Tasks: 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 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)

For applications and inquiries, contact:View email address on us.fitly.work

Vacancy posted 1 day ago
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