System Architect

System Architect

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Our client is<\/span><\/span> an European payment platform for mobility, fuel, EV charging, car washes, and fleet payments. It operates across<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span>14 European countries<\/span><\/span><\/b> <\/span><\/span><\/span>with<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span>1.5M+ acceptance points<\/span><\/span><\/b> <\/span><\/span><\/span>and is backed by companies such as<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span>Mastercard, Mercedes -Benz, bp, and AXA<\/span><\/span><\/b>.<\/span><\/span> <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>
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The company has shifted its business focus from B2C to B2B and fleet. They aim to become the integration platform for fleet businesses, partners, and existing ecosystems - like fleet management systems, ERP platforms, and mobility services. They need a System Architect<\/b> to make this vision real. <\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>
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Why this role exists:<\/b> the company operates at the intersection of fintech, mobility, and B2B SaaS. Their partners are diverse - from global fintechs to e -commerce platforms, from fleet management software to ERP systems, from carsharing operators to expense management platforms, from OEM infotainment systems to EV charging networks.<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>
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Location:<\/b> Germany, Munich (remote) or Portugal (remote)<\/span><\/span>
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Type of contract:<\/b> Permanent, full -time.<\/span><\/span>
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Tech Stack: <\/b>NestJS microservices on Kubernetes, Vue 3 portals on Firebase, Kafka eventdriven architecture, BigQuery analytics, GCP Cloud Functions, and a polyglot infrastructure spanning internal K8s and GCP managed services.<\/span><\/span>
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Your Tasks: <\/span><\/b>
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1. Design a unified but extensible integration platform that handles diverse partner needs without requiring bespoke development for every new partner.
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2. Understand all components of the software development lifecycle - from partner onboarding to payment processing, from event streaming to analytics, from security to observability.
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3. Coordinates across all teams - backend, frontend, QA, DevOps, AI, product, business - to ensure the platform serves everyone.
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4. Uses AI to accelerate everything - AI -assisted partner onboarding, AI -driven troubleshooting, AI -generated integration recommendations, AI -augmented documentation.
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This is not a theoretical architecture role. You will be hands -on, building MVPs in hours, proving approaches with working code, and then scaling them into platform capabilities.
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You report to the CTO and collaborate with Solution Architects, the Lead AI Practitioner, engineering team leaders, and product management<\/b>.
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Core Responsibilities<\/b>
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1. Design the Unified Integration Platform:
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- 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.
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- 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.
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- design the partner onboarding architecture - from registration to sandbox to production, with clear gates, automated testing, and self -service capabilities.
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- 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.
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2. Coordinate Across All Teams:
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- Work with backend teams to ensure the integration platform leverages NestJS microservices, Kafka event streaming, and database technologies effectively.
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- Work with frontend teams to design embeddable UI components, WebView flows, and partner -facing dashboards.
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- Work with QA to define integration testing strategies - sandbox environments, automated partner flow testing, contract testing.
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- Work with DevOps to ensure the platform scales on Kubernetes and GCP, with proper monitoring, alerting, and cost management.
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- Work with product and business to understand partner segments, prioritize integration approaches, and align platform evolution with business goals.
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- Work with the Lead AI Practitioner to ensure the platform is AI -optimized — AI -readable documentation, AI -testable flows, AI -assisted partner support.
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3. Understand All Business Sectors:
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- Fleet management - how fleet companies manage vehicles, drivers, fuel cards, expenses, and reporting.
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- Payment processing - PCI -DSS compliance, payment gateways, settlement, reconciliation.
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- Mobility services - fuel, EV charging, car washing, parking, tolling.
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- Fintech integrations - how banking and financial platforms embed third -party services into their apps.
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- E -commerce integrations - how e -commerce platforms offer add -on services to merchants.
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- ERP / Accounting integrations - how companies like SAP, Datev, or Lexware consume transaction data.
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- OEM integrations - how car manufacturers embed payment capabilities into vehicle infotainment systems.
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- Expense management - how services like Pleo, Moss, or Circula process and categorize fleet expenses.
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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>

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