Principal Software Engineer (AI/Cloud/Infrastructure/API)

The Engineering Experience (EngEx) organization at NBCUniversal is seeking a Principal Software Engineer to lead technical direction, architecture, and strategy across our developer platforms and cloud enablement stack. This is a strategic enterprise-level role with direct influence over how NBCUniversal’s engineers build software. A critical component of this role will be to drive the adoption and integration of AI across the Software Development Lifecycle (SDLC). The Principal Software Engineer will be responsible for designing secure, scalable workflows that integrate AI and automation into CI/CD pipelines, developer IDEs, and quality assurance stages to enhance brainstorming, code-assist, code-review, and code-quality processes. This role will also ensure consistent patterns in API design and management, as well as enforce principles of security and privacy by design across all development workflows. In addition, this role will oversee technical direction across: Cloud Control Plane (AWS, Azure, GCP) Cloud FinOps (Chargeback & Governance) Developer Tooling (GitHub Enterprise, Terraform Enterprise, Nexus, SonarQube, Atlassian, etc) Observability Platforms (Datadog, Splunk, AWS Quicksight) Kong API Gateway AI Gateway Responsibilities: Establish and evangelize technical direction for all EngEx platforms, ensuring alignment with organizational objectives and engineering best practices. Lead the enterprise-wide adoption of continuous AI workflows that embed intelligent, context-aware tooling across the SDLC. Architect secure, scalable environments to enable agentic development and support adaptive, real-time engineering experiences. Design and enforce security guardrails and policies in alignment with NBCUniversal’s governance and compliance standards. Architect and govern cloud control plane automation, multi-cloud account provisioning, and chargeback frameworks with a focus on FinOps and security. Drive the expansion and optimization of GitHub Enterprise, including org and billing consolidation, cost-center alignment, and policy governance. Develop observability and metric strategies using Datadog, Splunk, and AWS Quicksight to track and visualize platform health and SDLC productivity. Implement data collection pipelines from tooling (GitHub, CoPilot, Jira, Kong, etc.) to measure adoption and effectiveness of development workflows. Define and implement API governance frameworks, including IAM/OAuth2 flows, rate limiting, and auditing policies across Kong Gateways. Champion self-service capabilities and automation to reduce friction and enable rapid provisioning and compliance across cloud services and developer platforms. Mentor staff and junior engineers across the Engineering Experience organization, developing their technical acumen and ensuring alignment across platform pillars.