Solutions Architect

What You'll Actually Do as a Solution Architect Digital Platform:

1. Design the platform architecture — from API layers and event-driven patterns to identity, data flow, and multi-tenancy. You own the blueprint.
2. Evaluate and choose technology — whether it's an API gateway, a message broker, or a WMS integration. You'll run structured PoCs, not gut-feel decisions.
3. Set the technical direction — create architecture decision records (ADRs), define golden paths, and guide the team toward patterns that scale.
4. Bridge business and engineering — translate what product and leadership need into technical plans that engineers can rally behind.
5. Govern without slowing people down — establish lightweight review processes, reference architectures, and guardrails that help teams move faster, not slower.
6. Stay hands-on when it matters — jump into code reviews, prototype critical integrations, debug gnarly production issues. This isn't an ivory tower role.
7. Mentor and grow the team — run architecture workshops, pair with engineers, and raise the technical bar across the org.

What You Should Bring:

• Cloud-native platforms: Real experience designing and running production systems on AWS — not just certifications.
• API and integration design: REST, GraphQL, event-driven architectures, message brokers (Kafka, RabbitMQ). You know when to use what
• Containers and orchestration: Kubernetes, service mesh, and the ecosystem around it. You've operated this at scale.
• Security fundamentals: OAuth2/OIDC, Zero Trust, API security, secrets management. Security is part of your design, not an afterthought.
• DevOps and observability: CI/CD pipelines, GitOps workflows, and full-stack observability (logs, traces, metrics). You've built and maintained these

Nice to Have:

1. Experience with warehouse management systems (WMS), ERP, or supply chain platforms
2. Familiarity with architecture frameworks like TOGAF, C4 model, or ArchiMate
3. Certifications: AWS/Azure Solutions Architect Professional, CKA/CKAD, TOGAF
4. Exposure to AI/ML platform integration or LLM infrastructure patterns
5. Working knowledge of data mesh, event sourcing, or CQRS patterns
6. Experience in regulated industries (finance, logistics, courier)