Okta IAM Engineer

OpenKyber LLC
6 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Microsoft Access
Java
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Bash
Big Data
Information Engineering
ETL
Disaster Recovery
Failover
Hadoop
Hive
Identity and Access Management
JSON
Python
Key Management
Memcached
OAuth
Performance Tuning
Role-Based Access Control
Redis
Prometheus
Shell Script
SQL Databases
Data Streaming
Parquet
Scripting (Bash/Python/Go/Ruby)
Transport Layer Security
Load Balancing
Feature Engineering
Okta
System Availability
Delivery Pipeline
Large Language Models
Grafana
Spark
Caching
Event Driven Architecture
Kubernetes
Apache Flink
Avro
StorageGrid
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.

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