<\/div>
<\/div>
<\/div>
<\/span><\/span>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/span><\/span><\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
<\/div>
- 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.
<\/div>- 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.
<\/div>- design the partner onboarding architecture - from registration to sandbox to production, with clear gates, automated testing, and self -service capabilities.
<\/div>- 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.
<\/div><\/blockquote>2. Coordinate Across All Teams:
<\/div>- Work with backend teams to ensure the integration platform leverages NestJS microservices, Kafka event streaming, and database technologies effectively.
<\/div>- Work with frontend teams to design embeddable UI components, WebView flows, and partner -facing dashboards.
<\/div>- Work with QA to define integration testing strategies - sandbox environments, automated partner flow testing, contract testing.
<\/div>- Work with DevOps to ensure the platform scales on Kubernetes and GCP, with proper monitoring, alerting, and cost management.
<\/div>- Work with product and business to understand partner segments, prioritize integration approaches, and align platform evolution with business goals.
<\/div>- Work with the Lead AI Practitioner to ensure the platform is AI -optimized — AI -readable documentation, AI -testable flows, AI -assisted partner support.
<\/div><\/blockquote>3. Understand All Business Sectors:
<\/div>- Fleet management - how fleet companies manage vehicles, drivers, fuel cards, expenses, and reporting.
<\/div>- Payment processing - PCI -DSS compliance, payment gateways, settlement, reconciliation.
<\/div>- Mobility services - fuel, EV charging, car washing, parking, tolling.
<\/div>- Fintech integrations - how banking and financial platforms embed third -party services into their apps.
<\/div>- E -commerce integrations - how e -commerce platforms offer add -on services to merchants.
<\/div>- ERP / Accounting integrations - how companies like SAP, Datev, or Lexware consume transaction data.
<\/div>- OEM integrations - how car manufacturers embed payment capabilities into vehicle infotainment systems.
<\/div>- Expense management - how services like Pleo, Moss, or Circula process and categorize fleet expenses.
<\/div><\/blockquote>
<\/div><\/span>Requirements<\/h3>7+ years of software engineering experience, with at least 3 years in an architecture or technical leadership role. <\/span><\/li>Deep experience in system integration - you have designed and built integration platforms connecting diverse external systems (APIs, webhooks, embedded components, SDKs, batch processing). <\/span><\/li>Cloud computing / cloud -native expertise - hands -on experience with Kubernetes, GCP (or AWS/Azure), managed services, containerized microservices, and event -driven architectures. <\/span><\/li>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). <\/span><\/li>AI engineering literacy - you understand AI architecture patterns, have used AI coding assistants to deliver production work, and can design AI -augmented systems. <\/span><\/li>Full SDLC understanding - you know how architecture decisions affect development, testing, deployment, monitoring, security, and operations across the entire lifecycle. <\/span><\/li>Strong communication - you can explain complex architectural decisions to both C -level stakeholders and junior developers. <\/span><\/li>Hands -on, get -things -done attitude - you can build an MVP in hours, not weeks. You prove architecture with working code. <\/span><\/li><\/ul>Strongly Preferred<\/b> <\/span><\/div>Fintech or payment processing experience - understanding of PCI -DSS, payment gateways, settlement flows, and financial reconciliation. <\/span><\/span><\/li>B2B SaaS / fleet management experience - understanding of how businesses manage fleets, fuel cards, expenses, and reporting. <\/span><\/span><\/li>Kafka event -driven architecture experience - the company core platform runs on Kafka. <\/span><\/span><\/li>NestJS / Node.js / TypeScript experience - the company backend stack. <\/span><\/span><\/li>Vue 3 experience - the company frontend stack. <\/span><\/span><\/li>GCP experience (BigQuery, Firestore, Cloud Functions, GKE) — the company cloud platform. <\/span><\/span><\/li>Experience with AI context engineering — SKILL.md, CLAUDE.md, spec -driven development with AI. <\/span><\/span><\/li>Experience building developer portals, API documentation, or playground environments. <\/span><\/span><\/li>Mobility domain experience - fuel, EV charging, car washing, or telematics.<\/span><\/span><\/li><\/ul><\/div><\/span>