Principal Platform & Security Engineer

PLATFORM ENGINEERING & DEVELOPER ENABLEMENT

Define and evolve the platform architecture for cloud infrastructure CI/CD observability and systems management across U.S. digital products.

Design and maintain paved roads and golden paths that enable consistent secure delivery for streaming mobile and emerging technology products.

Manage and rationalize a multi-cloud environment spanning AWS GCP Azure and partner platforms making pragmatic decisions about workload placement and consolidation.

Establish and enforce standards for resource tagging ownership attribution and cost allocation across all cloud accounts and environments.

Identify fragmentation duplication and systemic risks across product teams and propose appropriate platform-level remediation strategies.

Collaborate with teams that own core platforms to review influence and guide platform design decisions.

Build and maintain self-service infrastructure provisioning including sandboxed environments for experimentation and proof-of-concept work enabling product teams to move quickly without compromising production systems.

Promote self-service and automation opportunities while coordinating with the teams responsible for implementation and operations.

Align platform strategies and tooling with Austrian DPS counterparts to ensure global consistency where appropriate.

SECURITY ARCHITECTURE & GUARDRAILS

Take ownership of platform-level security standards and policy-as-code for U.S. digital products.

Audit redesign and enforce IAM policies across all cloud providers implementing least-privilege access clearly defined role boundaries and automated access reviews.

Lead the adoption of SSO and SCIM across all third-party tools and services to ensure centralized identity management and automated provisioning and deprovisioning.

Design and enforce identity and access management models for both human users and AI agents.

Define security boundaries for AI-assisted development including data access controls intellectual property protection and model usage guidelines.

Establish data classification standards and ensure platform-level controls to support data privacy and regulatory compliance.

Collaborate with U.S. Security Legal and Corporate IT teams as well as Austrian counterparts on threat modeling and compliance initiatives.

Lead architectural planning and long-term remediation efforts for security incidents affecting U.S. platforms.

RELIABILITY OBSERVABILITY & INCIDENT DESIGN

Define standards for monitoring alerting and system health across streaming mobile and web platforms.

Establish Service Level Objectives (SLOs) and Service Level Indicators (SLIs) in partnership with product teams to define and measure service reliability targets.

Establish incident response frameworks conduct postmortems and drive reliability improvements.

Design on-call structures and incident management processes for the U.S. engineering organization.

Implement cloud cost observability and optimization practices across all providers.

Partner with Engineering Directors to continuously improve system stability and recovery.

Drive metrics that emphasize reliability safe change management and quality at scale.

ARCHITECTURE LEADERSHIP & GLOBAL ALIGNMENT

Serve as a trusted technical advisor to U.S. Engineering Directors and senior leadership.

Work closely with the Austrian DPS Platform team responsible for to align on: core platform principles security standards shared tooling long-term architectural direction

Identify systemic risks and opportunities across the global DPS ecosystem.

Evaluate vendor solutions participate in technical partnership discussions and provide build-versus-buy recommendations.

Help leadership understand the financial and operational implications of platform and infrastructure decisions.

Act as an influential technical leader across the organization driving alignment through expertise and trust rather than formal authority.

AI-READY SYSTEMS & AGENT ENABLEMENT

Define approved frameworks and patterns for AI-assisted and agent-based development across U.S. products.

Design secure integration patterns for large language models (LLMs) retrieval-augmented generation (RAG) systems and internal AI tools.

Establish guardrails against AI-specific risks including prompt injection data leakage and model drift.

Prototype reusable platform components that accelerate AI adoption within the Digital Products Studio and in other areas of the organization.

Coordinate AI platform decisions and lessons learned with Austrian Digital Products Studio teams to prevent duplication of effort and unnecessary divergence.

DECISION SCOPE & AUTHORITY

Defines platform security and AI development standards for U.S. Global Digital Products & Services.

Aligns and harmonizes these standards with Austrian DPS Platform leadership.

Establishes default practices and guardrails for product teams to follow.

Reviews and documents exceptions when teams deviate from the established standards.

Qualifications :

10 years of professional software engineering experience including more than 5 years specializing in platform engineering cloud infrastructure or security architecture.

Extensive experience in platform engineering cloud infrastructure and security architecture.

Experience managing workloads across at least two major cloud providers (AWS GCP Azure).

Demonstrated success operating at the Principal Staff or Architect level within complex multi-product organizations.

Strong background in supporting streaming platforms mobile applications and large-scale consumer products.

Experience working with identity providers implementing SSO and setting up SCIM-based provisioning.

Proven ability to influence teams across regions and time zones without direct reporting authority.

Strong skills in stakeholder management cross-functional negotiation and advocating for platform investments to senior leadership.

Sound architectural judgment with the ability to balance speed quality and risk.

Excellent communication skills with both technical and non-technical audiences.

Bachelors degree in Computer Science Engineering or equivalent practical experience.

Fluent in English; additional languages are an advantage.

Willing and able to travel as required work flexible hours and days and participate in on-call rotations.

Hands-on experience integrating AI and large language model (LLM) technologies into production systems.

Experience with AI-assisted development tools and agent-based (agentic) engineering workflows.

Familiarity with AR/XR development pipelines and spatial computing platforms.

Additional Information :

This position is open to U.S. citizens U.S. permanent residents or individuals who are currently authorized to work in the United States on a valid visa.

The base salary range for this position is $136000 - 204000 cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified.

Our current Benefits include:

Comprehensive Medical Dental and Vision Plans 401k Match Family Leave PTO & Paid Holiday Schedule Pet Legal and Life Insurance Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)

Red Bull North America Inc. is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability veteran status age or any other classification protected by Federal state or local law. We will consider for employment all qualified Applicants including those with Criminal Histories in a manner consistent with the requirements of applicable state and local laws including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance.

Remote Work :

No

Employment Type :

Full-time