Lead Engineer - R01560182

BrillioNew York, NY
21h$100,000 - $120,000

About The Position

Brillio LLC is seeking a qualified Lead Engineer to drive cloud infrastructure optimization, AI/ML adoption, automation, and data-driven business transformation initiatives.

Requirements

  • PaaS - Oracle Integration Cloud, Cloud Health, Cloudlets, Powershell, Oracle Cloud Development (API, Data, Integration), Adobe Creative Cloud, Demandware / Commerce Cloud, Cloudcheckr, CloudHub/Mule, Open Stack, Informatica & ETL Tools, CloudForms, Cloud Storage
  • Cloud Platform consulting: Engineer, DevOps
  • Cloud Platforms: AWS, Azure, GCP
  • DevOps: Azure DevOps, Jenkins, CI/CD
  • Automation: Terraform, Ansible, CloudFormation
  • Data Platforms: BigQuery, Redshift, Databricks
  • BI Tools: Power BI, Tableau
  • Monitoring: CloudWatch, Datadog, New Relic
  • AI/ML: Model deployment, predictive analytics, automation
  • Option 1: Master’s degree (or foreign equivalent) in CS / CIS / Engineering or related field 2 years IT experience 2 years must include Azure DevOps and Jenkins
  • Option 2: Bachelor’s degree (or foreign equivalent) in CS / CIS / Engineering or related field 5 years progressive experience 2 years must include Azure DevOps and Jenkins
  • Equivalent combinations of education, training, and experience accepted
  • Experience may be acquired concurrently

Responsibilities

  • Analyze and optimize business operations; identify inefficiencies and improvement areas
  • Monitor KPIs and deliver data-driven recommendations
  • Deploy, manage, and optimize cloud infrastructure (AWS, Azure, GCP)
  • Ensure scalability, security, cost-efficiency, and performance of cloud environments
  • Automate workflows using Terraform, Ansible, CloudFormation
  • Implement CI/CD pipelines and deployment automation
  • Develop and deploy AI/ML solutions for analytics, fraud detection, risk assessment, and automation
  • Collaborate with data science teams on predictive analytics and AI tools
  • Data analytics using BigQuery, Redshift, Databricks
  • BI & reporting using Power BI, Tableau
  • Ensure compliance (GDPR, PCI-DSS, SOX) and internal security policies
  • Cloud & AI monitoring using CloudWatch, Datadog, New Relic
  • Cost optimization, budget monitoring, and forecasting
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