Platform Engineer
$60 per hourOpenkyber
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)
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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