System Architect

- define the catalog of standard integration approaches - APIs (REST, GraphQL, gRPC),
Webhooks, WebView/iframe embedding, SDK -based integration, OAuth -based authentication
flows, file -based batch integration.

- ensure each approach is extensible and configurable - partners can adjust parameters
(auth methods, data fields, event triggers) without requiring code changes to the core
platform.

- design the partner onboarding architecture - from registration to sandbox to production,
with clear gates, automated testing, and self -service capabilities.

- architect the data flow patterns - how partner data flows through Kafka event bus,
BigQuery analytics, and internal services, ensuring consistency, idempotency, and
observability at every step.

- Work with backend teams to ensure the integration platform leverages NestJS
microservices, Kafka event streaming, and database technologies effectively.

- Work with frontend teams to design embeddable UI components, WebView flows, and
partner -facing dashboards.

- Work with QA to define integration testing strategies - sandbox environments, automated
partner flow testing, contract testing.

- Work with DevOps to ensure the platform scales on Kubernetes and GCP, with proper
monitoring, alerting, and cost management.

- Work with product and business to understand partner segments, prioritize integration
approaches, and align platform evolution with business goals.

- Work with the Lead AI Practitioner to ensure the platform is AI -optimized — AI -readable
documentation, AI -testable flows, AI -assisted partner support.

- Fleet management - how fleet companies manage vehicles, drivers, fuel cards, expenses,
and reporting.

- Payment processing - PCI -DSS compliance, payment gateways, settlement, reconciliation.

- Mobility services - fuel, EV charging, car washing, parking, tolling.

- Fintech integrations - how banking and financial platforms embed third -party services into
their apps.

- E -commerce integrations - how e -commerce platforms offer add -on services to
merchants.

- ERP / Accounting integrations - how companies like SAP, Datev, or Lexware consume
transaction data.

- OEM integrations - how car manufacturers embed payment capabilities into vehicle
infotainment systems.

- Expense management - how services like Pleo, Moss, or Circula process and categorize
fleet expenses.

Requirements

• 7+ years of software engineering experience, with at least 3 years in an architecture or
  technical leadership role.
  
  
• Deep experience in system integration - you have designed and built integration platforms
  connecting diverse external systems (APIs, webhooks, embedded components, SDKs, batch
  processing).
  
  
• Cloud computing / cloud -native expertise - hands -on experience with Kubernetes, GCP
  (or AWS/Azure), managed services, containerized microservices, and event -driven
  architectures.
  
  
• Polyglot technical breadth - you understand Node.js/TypeScript backends, modern
  frontend frameworks, databases (SQL and NoSQL), messaging systems (Kafka or equivalent),
  and API design (REST, GraphQL, gRPC).
  
  
• AI engineering literacy - you understand AI architecture patterns, have used AI coding
  assistants to deliver production work, and can design AI -augmented systems.
  
  
• Full SDLC understanding - you know how architecture decisions affect development,
  testing, deployment, monitoring, security, and operations across the entire lifecycle.
  
  
• Strong communication - you can explain complex architectural decisions to both C -level
  stakeholders and junior developers.
  
  
• Hands -on, get -things -done attitude - you can build an MVP in hours, not weeks. You prove
  architecture with working code.
  
  

• Fintech or payment processing experience - understanding of PCI -DSS, payment
  gateways, settlement flows, and financial reconciliation.
  
  
• B2B SaaS / fleet management experience - understanding of how businesses manage
  fleets, fuel cards, expenses, and reporting.
  
  
• Kafka event -driven architecture experience - the company core platform runs on Kafka.
  
  
• NestJS / Node.js / TypeScript experience - the company backend stack.
  
  
• Vue 3 experience - the company frontend stack.
  
  
• GCP experience (BigQuery, Firestore, Cloud Functions, GKE) — the company cloud platform.
  
  
• Experience with AI context engineering — SKILL.md, CLAUDE.md, spec -driven
  development with AI.
  
  
• Experience building developer portals, API documentation, or playground environments.
  
  
• Mobility domain experience - fuel, EV charging, car washing, or telematics.