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Expertise

Depth where systems connect.

RKL works at the boundaries between application code, infrastructure, CRM platforms, data and business operations, where technical decisions have lasting operational consequences.

SYSTEM CONTEXT / READY

Architecture · Applications · Platforms · Integrations · Data · Reliability

SYSTEM TOPOLOGY / PLATFORM ARCHITECTURE ACTIVE

CORE / FOCUSDomain boundaries that keep business rules coherent as the platform evolves.

SECURITY / BUILT INOBSERVABILITY / INSTRUMENTEDDEPLOYMENT / AUTOMATED
01

Application engineering

Frontend, backend and full-stack systems delivered as maintainable products, with explicit boundaries between interface, domain logic and infrastructure.

  • Web applications
  • APIs and services
  • Product engineering
  • Customer and internal platforms
02

Platform engineering

Cloud foundations, delivery systems and operational capabilities that application teams can rely on without treating production as an afterthought.

  • Cloud architecture
  • Infrastructure as code
  • CI/CD
  • Observability and reliability
03

Integration engineering

Secure, observable data movement across HubSpot, internal applications and external platforms, with failure handling built into the design.

  • API architecture
  • Events and webhooks
  • Authentication and OAuth
  • Data synchronisation
04

Architecture and modernisation

System decisions grounded in constraints, business risk, scale and long-term ownership, from focused reviews to phased replacement strategies.

  • Software and solution architecture
  • Enterprise integration
  • Modernisation strategy
  • Architecture reviews
05

Data and automation

Operational and analytical foundations that keep information trustworthy and make automation safe enough for real workflows.

  • Database engineering
  • Data pipelines
  • Cloud data platforms
  • Applied AI and workflow automation
06

Security and reliability

Security, recovery and operational visibility treated as cross-cutting system qualities instead of a checklist at the end of delivery.

  • Threat-aware design
  • Identity and access
  • Failure-mode analysis
  • Logging, metrics and tracing

Engineering principles

The qualities RKL designs into the system.

Architecture before complexity

Make consequential decisions explicit before adding unnecessary technology.

Production over prototypes

Design for real traffic, failures, security and the people who operate the system.

Automation by default

Make infrastructure, testing and deployment repeatable from the beginning.

Technology without hype

Choose tools for constraints and outcomes, not for fashion.

Observability by design

Build the evidence needed to understand behaviour and recover from failure.

Ownership after launch

Treat runbooks, handover and system evolution as part of delivery.

Technology landscape

Tools selected for the constraints, not the trend cycle.

Languages

TypeScript · JavaScript · Python · Java · C# / .NET · SQL

Applications

React · Next.js · Node.js · REST · GraphQL

Cloud & delivery

Google Cloud · AWS · Azure · Docker · Kubernetes · Terraform · GitHub Actions

Data

PostgreSQL · BigQuery · Firestore · Redis · Data pipelines

Platforms & patterns

HubSpot · Microservices · Event-driven · Serverless · Distributed systems

START A CONVERSATION / SYSTEM READY

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