Status: 🚧 PLACEHOLDER - Content Coming Soon
This repository contains solution code and frameworks for the AI Infrastructure Team Lead track, focusing on technical leadership, team building, and architectural decision-making.
- Technical strategy and roadmap planning
- Team structure and hiring frameworks
- Architecture decision records (ADRs)
- Incident management playbooks
- Performance review frameworks
- Technical debt management
- Vendor evaluation and build-vs-buy decisions
- Team onboarding programs
- Architecture review processes
- Technical RFC templates
- OKR and goal-setting frameworks
- 1-on-1 and feedback structures
- Team metrics and dashboards
ai-infra-team-lead-solutions/
├── README.md
├── modules/
│ ├── mod-001-technical-leadership/
│ ├── mod-002-team-building/
│ ├── mod-003-architecture-strategy/
│ ├── mod-004-project-management/
│ ├── mod-005-stakeholder-communication/
│ └── mod-006-career-development/
├── templates/
│ ├── architecture-decision-records/
│ ├── technical-rfcs/
│ ├── incident-postmortems/
│ └── performance-reviews/
└── frameworks/
├── hiring-interview-guides/
├── onboarding-programs/
└── team-metrics/
- Lead technical teams of 5-10 engineers
- Define technical strategy and roadmaps
- Make architectural decisions and trade-offs
- Build high-performing engineering teams
- Manage incidents and on-call rotations
- Communicate effectively with stakeholders
- Balance technical excellence with business needs
- Mentor and grow individual contributors
Experience Level: Senior (6-8 years, ready for leadership)
Time Commitment: 150-200 hours
- Architecture decision-making
- Technical strategy and roadmaps
- Build vs buy decisions
- Technology evaluation
- Hiring and interviewing
- Performance management
- Career development
- Team culture building
- Sprint planning and execution
- Stakeholder management
- Cross-team collaboration
- Incident management
Last Updated: 2025-10-25 Status: Placeholder