Technical decisions keep multiplying without a clear doctrine
Every feature reopens the same debates around decomposition, ownership, contracts, tests, data, or runtime.
Software Architecture
Architecture that clarifies delivery, not just diagrams.
LRJI helps product and engineering teams turn architecture choices into usable decisions: domain boundaries, modularity, technical standards, migration paths, and delivery guardrails.
The work combines Staff-level architecture judgement with field execution across TypeScript, Node.js, DDD, Hexagonal Architecture, event-driven systems, GCP, CI/CD, test strategy, and long-term maintainability.
When to intervene
The right signals for architecture support
Architecture is useful when it reduces operational ambiguity. Not when it adds a new vocabulary layer above an already confused system.
Business and technical boundaries no longer tell the same story
The product model, modules, services, teams, and data flows have gradually drifted apart.
Delivery slows down even though the team is working hard
Pull requests get larger, releases require too much coordination, and regressions appear in unexpected areas.
Microservices, event-driven, DDD, or modular monolith are discussed without decision criteria
The options are known, but the team lacks a clear arbitration tied to traffic, organization, cost, and the actual product.
The business roadmap depends on a more reliable technical foundation
The next phase requires stabilizing the foundations before adding more feature surface.
Scope
What the engagement clarifies
The work connects product architecture, code, platform, and delivery organization. Diagrams only matter when they make decisions clearer.
- Domain boundaries and modularity
- Definition of bounded contexts, modules, application responsibilities, internal contracts, and the areas that must stay decoupled.
- Application architecture and integrations
- Choices across modular monoliths, services, event-driven architecture, REST/tRPC/OpenAPI APIs, Kafka or RabbitMQ messages, and integration patterns.
- Delivery, runtime, and quality
- CI/CD, tests, observability, GCP, Cloud Run, Kubernetes, Docker, shift-left security, and standards that protect maintainability.
- Technical governance
- ADRs, RFCs, C4 models, code conventions, decision rituals, and criteria that prevent the architecture from dissolving after the engagement.
Approach
The LRJI position
Architecture is not a style exercise. It should help a team ship better, reduce risk, and decide faster.
Decide at the right level
No false balance. A decision must name the context, the dominant constraint, and the recommended option.
Stay close to the code
Standards must show up in the real project structure, tests, conventions, and first pull requests.
Fit the architecture to the team
A system for four developers does not need the same architecture as a global platform with multiple autonomous teams.
Document so the team can continue without a consultant
Decisions, tradeoffs, and revision criteria must remain usable by the team after the engagement.
Format
How the engagement works
The format adapts to the context, but the thread stays the same: understand the real system, decide what matters, then install execution guardrails.
- 01
Read the real system
Codebase, business flows, pipelines, runtime, incidents, technical debt, product constraints, and delivery friction are analyzed together.
- 02
Map the decisions
Open topics are separated into structural decisions, team standards, reversible choices, and debt that needs sequencing.
- 03
Define the path
Target architecture, boundaries, integration patterns, migration plan, and delivery rules are made actionable.
- 04
Anchor it in execution
Decisions become ADRs, RFCs, C4 views, conventions, initial code changes, or team enablement.
Outputs
What the team gets
The outputs are not designed to fill a folder. They are meant to support decisions, align the team, and reduce coordination debt.
- Target architecture readable by CTO or technology leadership and usable by the engineering team.
- Clarified domain boundaries, modules, contracts, and responsibilities.
- ADRs, RFCs, or C4 views documenting structural decisions.
- Sequenced migration or simplification path.
- Delivery, testing, CI/CD, observability, and security standards adapted to the context.
- Decision criteria for when to distribute, modularize, refactor, or deliberately wait.
Proof
Relevant experience
The references stay intentionally concise, but the thread is consistent: simplify, clarify boundaries, and connect architecture to delivery.
7 -> 1
Retail: simplifying a microservices architecture
Progressive migration toward a more maintainable primary deployable, fewer pods per environment, and simpler release coordination.
0 -> prod
SaaS: TypeScript and GCP foundations
End-to-end architecture with tactical DDD, TypeScript, tRPC, PostgreSQL, GCP, and shift-left practices to avoid a future rewrite.
Identity
Banking: critical authentication platform
Backend architecture around Keycloak, abstraction layer, Hexagonal Architecture, and more testable application boundaries.
Possible next steps
The right service depends on the starting point
Software architecture can be the central engagement or the logical continuation of an audit, a migration, or a senior execution need.
When the diagnosis is missing
Start with an audit to prioritize risks before defining an architecture path.
Start with an architecture auditWhen legacy blocks delivery
Turn decisions into sequenced migration, coupling reduction, and progressive modernization.
Legacy MigrationWhen execution is the issue
Strengthen the team with senior software engineering that ships while protecting the architecture.
Senior Software EngineeringWhen integration becomes central
Frame event-driven design, messages, contracts, idempotency, data consistency, and the real limits of distribution.
Event-Driven ArchitectureWhen the product is starting
Lay foundations for a SaaS, a risky prototype, or a platform before poor early choices become expensive.
Project BootstrapFAQ
FAQ
How is this different from the architecture audit?
The audit produces a diagnosis and priorities. Architecture support goes further: it helps design the target, make decisions, formalize standards, and support execution.
Can this work alongside an existing engineering team?
Yes. The goal is to strengthen the team's direction, decisions, and execution model, not to replace internal ownership.
Does this cover DDD, event-driven architecture, and GCP topics?
Yes. Those topics are part of the scope when they serve the product, system boundaries, and delivery constraints. They are not imposed as default vocabulary.
Next step
Bring the hard decision, the codebase, and the delivery constraint.
LRJI helps turn that context into target architecture, explicit tradeoffs, and standards the team can apply without losing pace.