Okta IAM Engineer

OpenKyber LLC

United States

3 months ago

Apply on indeed.com

Prepare application

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

indeed.com

Tech stack

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

+39 more

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

Job 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.

Requirements

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)

About the company

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.