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Product Engineering

Platforms built to
scale with you.

We design, build, and modernise enterprise digital platforms — from cloud-native microservices and API-first architecture to legacy transformation and complex data integration.

What we deliver

Platform & Application EngineeringGreenfield builds, cloud-native architecture, scalable design
Legacy ModernisationMonolith decomposition, re-platforming, cloud-native rebuild
Microservices & API DesignDDD, event-driven, REST, GraphQL, gRPC
Data & Integration EngineeringKafka, Redis, ETL pipelines, third-party integrations
Web Portals & Enterprise AppsReact, Angular, Next.js — enterprise UX at scale
30%Faster time-to-market with agile delivery
60%Infra cost reduction post-modernisation
3xDeployment frequency after CI/CD integration
90%+Test automation coverage target on all projects
The problem

Legacy platforms hold businesses
back. We break that cycle.

Most enterprise technology debt isn't from bad decisions — it's from good decisions made years ago that haven't been revisited. A monolith that worked well at 10,000 users struggles at 1,000,000. An on-premise application that served the business for a decade becomes a competitive liability when the business needs to move at cloud speed.

Modernisation isn't rewriting for the sake of it. It's a deliberate, incremental engineering programme that reduces risk while unlocking the velocity, scalability, and maintainability the business needs.

Sminetech brings battle-tested expertise in taking complex enterprise platforms from where they are to where they need to be — with clean architecture, strong documentation, and full engineering ownership of every delivery milestone.

Signs your platform needs engineering attention

1
Releases are painful and riskyEvery deployment requires extensive coordination and carries rollback risk
2
Scaling is expensiveHandling more load means buying more hardware, not elastic scaling
3
Integrations are brittlePoint-to-point integrations break constantly and are hard to debug
4
New features take too longTeams spend more time navigating technical debt than shipping value
5
No one fully understands the systemInstitutional knowledge is held by a few people — and that's a risk
Core capabilities

What we build and modernise

From greenfield product development to legacy transformation — we cover the full enterprise application lifecycle.

Platform & Application Engineering
We design and build robust digital platforms from the ground up — scalable, maintainable, and engineered for the long term.
  • Cloud-native application architecture design
  • Microservices and event-driven architecture
  • Domain-driven design and bounded context modelling
  • API-first design with REST, GraphQL, and gRPC
  • Multi-tenant SaaS platform architecture and build
Legacy Modernisation
Systematic transformation of legacy systems to cloud-native architectures — with strategies that minimise risk and keep the business running throughout.
  • Monolith decomposition and strangler fig patterns
  • Re-platform to cloud-native services
  • Database migration and data layer modernisation
  • API wrapping of legacy systems during transition
  • Incremental migration with feature parity validation
Microservices & API Design
Modular, independently deployable services that enable teams to move fast without breaking things — built on API-first principles and clean contracts.
  • Domain-driven microservice decomposition
  • REST, GraphQL, gRPC API design and documentation
  • API gateway, rate limiting, and auth patterns
  • Service mesh integration (Istio, Linkerd)
  • Contract testing with Pact and consumer-driven contracts
Data & Integration Engineering
Seamless data flow between systems — from real-time event streaming with Kafka to batch ETL pipelines and third-party API integrations.
  • Apache Kafka event streaming architecture
  • Redis caching and session management
  • ETL pipeline design and implementation
  • Third-party API and webhook integrations
  • Data schema design for high-throughput transactional systems
Web Portals & Enterprise Applications
Custom web applications — from internal tooling and admin portals to customer-facing platforms — built with modern frameworks and enterprise-grade UX.
  • React and Angular enterprise SPA development
  • Next.js for SSR and performance-critical portals
  • Enterprise admin dashboards and reporting platforms
  • Authentication, authorisation, and multi-tenancy
  • Accessibility, performance, and SEO optimisation
Workflow Re-engineering
Digitise and automate complex business workflows — replacing manual processes with reliable, auditable, and scalable automated systems.
  • Business process analysis and workflow mapping
  • BPMN workflow engine integration (Camunda, Temporal)
  • Document processing and approval workflows
  • Notification systems and event-driven automation
  • Integration with ERP, CRM, and third-party platforms
Our methodology

How we engineer enterprise products

Agile delivery with strong architecture — speed and quality are not trade-offs.

01
Assess
Deep-dive into your current architecture, codebase, and infrastructure. We identify tech debt, scaling risks, integration pain points, and modernisation opportunities.
  • Architecture review and tech debt analysis
  • Codebase and dependency audit
  • Integration map and bottleneck identification
  • Performance and scalability assessment
  • Modernisation effort and risk scoring
02
Architect
Design the target architecture — decomposition strategy, technology selections, integration patterns, data models, and migration approach.
  • Target architecture design
  • Technology selection rationale
  • Data migration and transformation strategy
  • API design and contract specification
  • Non-functional requirements baseline (performance, security, availability)
03
Engineer
Agile delivery with 2-week sprints, clear milestone ownership, automated testing, and CI/CD from day one.
  • Sprint planning with business-aligned milestones
  • TDD/BDD with 90%+ test automation targets
  • Continuous integration and automated deployments
  • Code review standards and pair programming
  • Architecture decision records (ADRs) maintained throughout
04
Harden
Before go-live: load testing, security testing, performance tuning, documentation, and runbook creation.
  • Load testing with k6, Gatling, or Locust
  • Security penetration testing and remediation
  • Performance profiling and bottleneck resolution
  • API documentation with Swagger/OpenAPI
  • Operational runbooks and on-call guides
05
Transition & Support
Structured handover to your team with full documentation, knowledge transfer, and a support period to ensure stability in production.
  • Knowledge transfer workshops
  • Full technical documentation
  • Runbooks and operational guides
  • Post-launch monitoring and rapid response period
  • Optional: ongoing managed operations engagement
Technology stack

Languages, frameworks, and platforms

Deep expertise across the enterprise application stack — front-end to back-end, SQL to streaming.

Backend
Java / Spring BootMicroservices, reactive, Spring Cloud, Quarkus
Node.js / NestJSREST APIs, serverless, real-time, BFF pattern
Python / FastAPIAPIs, automation, data processing, ML services
.NET 8 / C#Enterprise backends, Azure-native, Blazor
Frontend
React / Next.jsEnterprise SPA, SSR, micro-frontends, Zustand
AngularLarge-scale apps, Angular 17+, NgRx, RxJS
TypeScriptType-safe development across React and Node
Vue.jsProgressive framework for embedded and lightweight UIs
Data
PostgreSQLRelational, JSONB, partitioning, replication
MongoDBDocument store, Atlas, aggregation pipelines
Apache KafkaEvent streaming, MSK, Confluent, Schema Registry
RedisCaching, pub/sub, session, Redis Cluster
Integration & APIs
REST / GraphQLAPI-first design, versioning, documentation
gRPCHigh-performance inter-service communication
MuleSoft / BoomiEnterprise integration and iPaaS
Kafka ConnectCDC, source and sink connectors, SMTs
DevOps & Cloud
Docker / KubernetesContainerisation, orchestration, Helm
TerraformIaC for all cloud deployments
GitHub / GitLabSource control, CI/CD, code review
AWS / Azure / GCPCloud deployment across all three platforms
Quality & Testing
JUnit / Jest / PytestUnit testing across Java, JS, Python
Cypress / PlaywrightE2E testing for web applications
k6 / GatlingLoad and performance testing
PactContract testing for microservices
Success story

SaaS project management platform
for a manufacturing enterprise

Product Engineering · Manufacturing

From disconnected spreadsheets to real-time SaaS visibility

Challenge
Disconnected project management across distributed teams created fragmented visibility, opaque delivery timelines, and entirely manual territory-level coordination — limiting the business's ability to scale operations effectively.
Solution
Sminetech designed and built a SaaS project management portal with real-time collaboration, project stage tracking, overdue project alerts, and 360° territory-level dashboards — replacing manual coordination with a single source of truth.
Impact
30% operational efficiency gain, complete visibility across all territories, and measurably improved delivery timelines — transforming how the business tracked and managed project delivery at scale.
Technologies
ReactNode.jsPostgreSQLREST APIsDockerCloud HostingReal-time WebSockets

Client

Leading Modular Kitchen & Interiors Manufacturer — Multi-geography operations

30%Operational efficiency gain
360°Territory visibility
100%Projects tracked in real-time
ZeroManual coordination overhead
Frequently asked questions

Common questions about Product Engineering

We use incremental strategies — most commonly the strangler fig pattern — where new functionality is built alongside the legacy system, traffic is progressively shifted, and the old system is decommissioned in phases. This allows continuous business operation while the modern platform is built.
We work alongside your team. Our preferred model is collaborative — your domain experts and product managers guide the requirements while our engineers bring architectural and delivery expertise. We actively facilitate knowledge transfer throughout the engagement.
Quality is engineered in from the start — not added at the end. Every project includes automated testing targets (typically 90%+ coverage), CI/CD pipelines that gate deployments on test results, code review standards, and architecture decision records that document every key decision and its rationale.
Fixed-scope projects work well for defined products with stable requirements. For complex enterprise platforms, a phased time-and-materials model with milestone-based checkpoints gives more flexibility. We can also embed our engineers into your existing team for specific capability gaps.
It depends heavily on the scope and complexity of the legacy system. A focused API layer modernisation can take 8–12 weeks. A full monolith decomposition for a complex enterprise system is typically a 12–24 month programme with phased delivery.
Related services

Often combined with Product Engineering

Cloud & DevOps
The infrastructure and CI/CD foundation that your applications are deployed onto.
Learn more →
Mobile Development
Cross-platform mobile apps built to complement your enterprise web platforms.
Learn more →
Agentic AI
Intelligent automation and AI capabilities embedded into your enterprise platform.
Learn more →
Ready to get started with Product Engineering? Start with a free 2-week assessment — no commitment, no obligation.
Interested in Product Engineering? Get a free assessment — no commitment, no sales pitch.