Skills and evidence map
A capability map spanning technical strategy, people and delivery leadership, engineering systems, software architecture, backend and data platforms, production engineering, cloud, applied AI, security, and reliability.
Leadership system
Connecting business context, constraints, architecture, risk, and engineering choices into a direction teams can execute.
Engineering leadership
Leading engineers with clear context, accountable ownership, practical coaching, sound technical judgment, and a delivery system that keeps work moving.
Team system
Designing the ownership, review, feedback, planning, and delivery mechanisms that help small engineering teams operate clearly.
Architecture
Defining boundaries, tradeoffs, reliability needs, data flows, security controls, and evolutionary paths across complete production systems.
Backend and data
Designing production APIs, real-time integrations, relational data models, ingestion pipelines, and recovery controls across high-volume business systems.
Engineering
Building and operating maintainable backend, web, and data systems with pragmatic testing, observability, security, deployment discipline, and incident ownership.
Applied AI
Designing and deploying practical AI workflows with bounded tools, retrieval, orchestration, evaluation, human approval, security controls, and cost awareness.
Cloud
Designing, deploying, securing, observing, and optimizing production workloads with cost-aware managed infrastructure.
Security and reliability
Designing practical application-security and reliability controls, detecting anomalies, containing incidents, restoring service, and turning failures into better engineering systems.
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