The Engineering Experience (EngEx) organization at NBCUniversal is seeking a Principal Software Engineer to lead technical direction, architecture, and strategy across developer platforms and cloud enablement stack, with a focus on driving the adoption and integration of AI across the Software Development Lifecycle (SDLC).
Requirements
- Extensive experience designing and implementing strategic cloud-native and microservice architectures at enterprise scale, with an understanding of design principles for scalability, performance, and reliability
- Proven experience designing and operationalizing developer platforms at scale, with strong focus on AI-driven SDLC improvements.
- Deep expertise in GitHub Enterprise, GitHub Actions, and GitHub CoPilot, including workflow automation, security integration, and team adoption strategies.
- Strong background in cloud platforms (AWS, Azure, GCP) and FinOps principles for cost visibility and optimization.
- Experience with observability platforms (Datadog, Splunk, AWS Quicksight) and metric instrumentation across the developer experience stack.
- Deep understanding of source control, package management, CI/CD pipelines, IaC, and developer enablement tools.
- Knowledge of OAuth2, IAM, and API management strategies.
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.
- 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.
Other
- 12+ years of experience in enterprise software engineering, platform engineering, or infrastructure architecture.
- Excellent communication skills for working across technical and executive audiences; ability to lead cross-functional initiatives and influence enterprise standards.
- Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence.
- Company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks.
- Bachelor's degree or equivalent experience
