NBCUniversal is seeking to enhance its software development lifecycle (SDLC) by integrating AI and automation, aiming to improve brainstorming, code-assist, code-review, and code-quality processes. The company also needs to ensure consistent API design, management, security, and privacy across all development workflows.
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. 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.
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.
- Thought leadership in platform engineering, AI-enhanced development, or developer productivity.
- Fully Remote
- External candidates may be required to attend an in-person interview
