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Principal Cloud Security Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Hispanic Alliance for Career Enhancement
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Cybersecurity, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Data Security
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Final date to receive applications: 07/30/2026

Address: 320 S Canal Street

Senior Cloud, AI & Data Security Engineer

We are seeking an enthusiastic and passionate professional for the Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services across AWS, Azure, and AI/ML platforms
. The candidate will establish the highest standards that meet and exceed security governance solutions and practices, provide assurance to management and auditors, and ensure sustained protection by embedding controls in operational and Dev Ops (CI/CD) practices with a focus on automation.

Responsibilities Cloud Security
  • Assess, design, implement, automate, and document security solutions, controls, and processes for Amazon Web Services (AWS) and Microsoft Azure cloud platforms.
  • Develop and maintain security patterns for cloud platforms and services; evaluate all cloud patterns to ensure adherence to best security practices and controls.
  • Design and implement security baseline controls for cloud services for integration into the CI/CD process.
  • Build and deliver policies as code
    , automating security controls and best practices.
  • Review and approve code and changes with security implications such as IAM Roles and Policies and Security Groups.
  • Be the cloud security subject matter expert for the Cloud Engineering group and its partners in any IaaS, PaaS, and SaaS implementations.
AI & Machine Learning Security
  • Define and implement a security framework for AI/ML systems
    , covering the full model lifecycle from data ingestion and training to deployment and monitoring.
  • Assess and mitigate AI‑specific threats including adversarial attacks, model inversion, data poisoning, prompt injection, and model theft.
  • Evaluate and secure AI/ML platforms and tools (e.g., Amazon Sage Maker, Azure Machine Learning, Hugging Face, OpenAI APIs) against organizational risk standards.
  • Collaborate with data science and AI engineering teams to integrate security controls into MLOps pipelines
    , ensuring model integrity, access controls, and auditability.
  • Monitor emerging AI threat landscapes and regulatory developments (e.g., EU AI Act, NIST AI RMF) and translate these into actionable organizational controls.
Data Security
  • Implement and manage data security posture management (DSPM) tools to continuously monitor sensitive data exposure across cloud environments.
  • Establish controls for structured and unstructured data stores
    , including databases, data lakes, data warehouses and file sharing platforms.
  • Drive the adoption of data‑centric security practices within application development and analytics teams.
General Security Leadership
  • Provide subject matter expertise on architecture, authentication, and systems security based on the engineering stack, services, and data flow.
  • Lead continuous cybersecurity risk assessments of new and existing technologies – including AI/ML systems and data platforms – to identify risks and appropriate controls that balance security and operability.
  • Provide effective and pragmatic cybersecurity guidance upfront in major technology projects to enable the business to innovate securely.
  • Assist in the investigation and remediation of security incidents, including those involving AI model compromise or data breaches.
  • Work closely with Information Security, product, and software development teams to assess cybersecurity risk and recommend solutions in cloud, AI, and data environments.
Mindset
  • You are a self‑starter
    , driven, and can handle multiple projects and priorities.
  • You are passionate about driving the Dev Sec Ops  and MLSec Ops mindset and culture in a fast‑paced, challenging environment.
  • You understand the intersection of security, AI, and data and actively seek to build bridges between these disciplines.
  • You are actively looking to improve the solutions you implement, understand their efficacy, and are keen to work in a team of CI/CD, infrastructure, AI, and data specialists.
  • You are energized by the rapidly evolving AI threat landscape and bring curiosity and practical judgment to navigating ambiguity.
  • As a member of this team, you will inject new knowledge and skills into an…
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