What a Principal } should know

Defines Node.js platform performance strategy. Designs high-throughput solutions: streams for I/O, worker threads for CPU-bound, clustering. Balances throughput and event loop latency.

Designs Node.js platform async architecture: event-driven messaging (BullMQ/NATS), streaming via Node.js Streams, backpressure handling. Defines scaling strategy for I/O-bound and CPU-bound workloads.

Defines Node.js platform tech debt strategy. Plans migrations (CommonJS → ESM, Express → Fastify). Establishes code quality metrics and continuous improvement processes.

Designs Node.js platform data models: shared TypeScript types via npm packages, Protocol Buffers for inter-service communication, streaming data processing via Node.js Streams API.

Defines Node.js platform architectural patterns: Event-Driven Architecture, CQRS, Circuit Breaker (opossum). Shapes reference architecture on NestJS/Fastify. Evaluates trade-offs.

Shapes FP strategy for Node.js platform: Effect System for complex workflows, algebraic data types, functional error handling. Determines when FP vs OOP, plans adoption path.

Shapes Node.js platform object model. Determines where OOP (NestJS) is optimal vs FP (pure functions, composition) is preferred. Designs shared modules between services.

Shapes Node.js platform typing standards: shared type packages, branded types for domain safety, type-safe ORM (Prisma/Drizzle). Evaluates new TypeScript features for adoption.

Designs event-streaming platform: Kafka + Node.js workers for stream processing, multi-cluster setup, event sourcing patterns. Defines governance for event contracts.

Defines caching strategy at company level. Evaluates new technologies and approaches. Shapes enterprise standards and reference architectures.

Defines organizational Node.js framework strategy: reference architecture, mono-repo setup (Nx/Turborepo), shared packages. Plans framework migrations and technology radar.

Defines enterprise messaging strategy evaluating RabbitMQ vs alternatives (SQS, Kafka, NATS). Shapes organization-wide async communication standards and reference architectures. Establishes messaging platform governance and technology evolution roadmap.

Designs caching platform: shared Redis infrastructure, cross-service cache coherence, partitioning strategy. Defines governance for cache patterns and capacity planning.

Designs distributed task processing: BullMQ for lightweight jobs, Kafka for heavy stream processing, temporal for long-running workflows. Defines orchestration patterns and SLA.

Designs platform data model: bounded context → database mapping, shared types via npm packages, event-driven data sync between services.

Designs platform indexing strategy: cross-service search indexes, automated maintenance. Defines indexing approaches for different storage engines (PostgreSQL, MongoDB, Elasticsearch).

Designs platform migration strategy: coordination between services, backward compatibility policy, data versioning. Defines schema evolution governance.

Designs MongoDB strategy for Node.js platform: Mongoose vs native driver, sharding strategy, Atlas vs self-hosted. Determines when MongoDB vs PostgreSQL based on data access patterns and consistency requirements.

Designs data strategy: database-per-service, shared databases, read replicas routing. Determines when PostgreSQL vs MongoDB vs others for Node.js services.

Designs data access strategy: CQRS, read replicas routing, materialized views, polyglot persistence. Defines SLA for query latency.

Designs developer experience: API portal, SDK generation, interactive examples, developer onboarding. Defines documentation strategy for internal and external APIs.

Designs API quality assurance: automated contract verification, breaking change detection, API conformance testing. Defines organizational API testing strategy.

Designs API lifecycle management: versioning governance, sunset policies, automated compatibility checking. Defines organizational standards for API evolution.

Designs GraphQL strategy: unified graph (Apollo Federation), schema governance, GraphQL vs REST trade-offs per use case. Determines when GraphQL is justified on the platform.

Designs platform API strategy: API gateway (Kong/AWS API GW), API marketplace, self-service API creation. Defines API governance and lifecycle management.

Designs real-time platform: edge WebSocket (CloudFlare Workers), connection routing, global presence system. Defines real-time strategy and technology selection.

Designs cloud strategy: serverless-first vs container-first, multi-region, cost management at scale. Defines reference architecture for Node.js on AWS.

Designs container strategy: standardizing Node.js runtime environments, image governance, registry architecture. Determines container vs serverless (Lambda) for different workloads.

Designs platform strategy: K8s abstractions for Node.js developers, self-service deployment, multi-environment management. Defines compute platform for organization.

Designs CI/CD strategy: unified pipeline templates, progressive delivery, automated quality gates. Defines deployment governance for organization.

Designs integration testing platform: shared test infrastructure, contract testing registry, automated compatibility verification. Defines cross-service testing strategy.

Shapes organizational testing culture: TDD adoption strategy, BDD for cross-team contracts, test-first approach for critical paths. Defines testing maturity model.

Defines unit testing strategy: testing guidelines for different Node.js service types, shared test utilities, quality metrics. Shapes engineering testing culture.

Designs authentication strategy: centralized auth service, zero-trust identity, federation. Defines auth patterns for Node.js platform.

Designs Node.js platform security strategy: secure-by-default framework, automated security verification, supply chain security. Defines organizational AppSec standards.

Designs secure development program: secure-by-default frameworks, automated security verification, developer security enablement. Defines organizational secure SDLC for Node.js.

Defines AI strategy for Node.js development: tool selection, governance, quality gates for AI-generated code. Evaluates LLM-powered dev tools and their impact.

Designs microservices strategy: decomposition methodology, service mesh, observability platform. Determines when microservices are justified, migration path from monolith.

Defines architectural strategy: reference architecture on Node.js, inter-service communication standards, platform abstractions. Plans evolution roadmap.

Designs OpenTelemetry platform: vendor-neutral observability, multi-signal correlation, OTel Collector scaling. Defines observability strategy.

Shapes metrics strategy: unified instrumentation for Node.js, Prometheus vs Datadog, cost management. Defines observability platform for organization.

Shapes observability logging strategy: logs-traces-metrics correlation, cost-effective storage, automated anomaly detection. Defines organizational logging standards.

Defines review standards: cross-team review for shared packages, architecture review board, automated quality gates. Shapes engineering excellence.

Defines version control strategy: monorepo (Nx/Turborepo) vs polyrepo, release management, dependency management via shared packages. Coordinates cross-team collaboration.