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# Okta IAM Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Contract:** Temporary contract
- **Skills:** Microsoft Access, Java (Programming Language), Artificial Intelligence, Airflow, Amazon S3, Bash Shell, Big Data, Information Engineering, Extract Transform Load (ETL), Disaster Recovery, Failover, Apache Hadoop, Apache Hive, Identity and Access Management, JSON, Python (Programming Language), Key Management, Memcached, OAuth, Performance Tuning, Role-Based Access Control, Redis, Prometheus, Shell Script, SQL Databases, Data Streaming, Parquet, Scripting, Transport Layer Security, Load Balancing, Feature Engineering, Okta, System Availability, Delivery Pipeline, Large Language Models, Grafana, Apache Spark, Caching, Event Driven Architecture, Kubernetes, Apache Flink, Avro, StorageGrid, Apache Kafka, Apache Nifi, Machine Learning Operations, Terraform, Data Pipelines, Serverless Computing, Programming Languages, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4da96d1220654c8a

## About the Role

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)

## Description

* 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.


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