Principal Platform & Security Engineer

The global Red Bull Digital Products & Services technology team is responsible for building, launching, and maintaining cutting-edge technology solutions that support all global consumer-facing digital products. These include streaming platforms such as Red Bull TV, mobile apps and games, RedBull.com, and other initiatives that advance the brand by staying at the forefront of emerging technologies.

The Principal Platform & Security Engineer is responsible for defining, evolving, and protecting the technical foundations of Red Bull’s U.S.-based Global Digital Products & Services portfolio.

This role operates horizontally across product pillars, including the Streaming Platform, Wings for Life World Run, and the Digital Products Studio, which focuses on native applications and emerging technologies. The Principal Platform & Security Engineer ensures that teams can move quickly without fragmenting infrastructure or increasing risk, and without compromising security, reliability, or brand trust.

In addition, this role works in close partnership with the Austria-based Global Digital Products & Services Platform, as well as the MIT and IT teams, to align on shared standards, architectural principles, security, and long-term platform strategy across regions.

This position will lead efforts to assess, consolidate, and mature the current U.S. platform landscape across multiple cloud providers, establishing consistent standards for resource management, access control, and operational visibility as the foundation for future growth.

As engineering teams adopt AI-assisted development tools and agent-based coding workflows, this role defines the guardrails, automation, and platform capabilities required to safely scale both human- and AI-driven engineering across multiple products, teams, and geographies.

Areas that play to your strengths

All the responsibilities we'll trust you with:

• 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.

• 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.

• 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.

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

  Work closely with the Austrian DPS Platform team responsible for RedBull.com 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.

• 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.

• 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.

EXPERIENCE

Your areas of knowledge and expertise

that matter most for this role:

• 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.
• Bachelor’s 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.

• Travel 0-10%
• Permanent
• Benefits eligible