🏛️Responsibilities

• Write and own the architecture roadmap from today's product to the data hub, in clear steps, and get it adopted by the team and the founders.
• Balance immediate business needs with long term system maintainability.
• Design the canonical packaging data model and data contracts (SKU, component, material, supplier, jurisdiction, obligation) that become the single source of truth for customers and partners.
• Design and build the ingestion and integration layer: spreadsheets, PDFs, spec management systems (Specright, Trace One), ERP and PLM exports, partner APIs.
• Move the platform from early-stage serverless functions to a service architecture that scales (containerised services, queues, event-driven jobs) without stalling delivery.
• Own multi-region and data-residency design (US and EU isolated environments) and the security controls needed for SOC 2/ISO 27001 and enterprise due diligence.
• Define migration, versioning, and schema-change practices so customer data integrity never breaks.
• Partner with the Engineering Lead on the ML pipeline foundations: training data, model versioning, evaluation, monitoring.
• Set engineering standards for reviews, observability, and testing without adding bureaucracy.
• Be customer-facing when needed: technical due diligence, integration workshops, architecture Q&A with enterprise IT and security teams.
• Mentor engineers as the team grows and remove single points of failure in backend knowledge.
• 
  

✔ Required experience

• 8+ years of backend engineering, including 3+ years designing data-intensive, multi-tenant B2B SaaS platforms.
• Deep PostgreSQL: data modelling, performance, migrations, row-level security. Supabase experience is a plus.
• TypeScript and Node.js in production (Nest.js or a similar framework).
• AWS at depth: containerised services (ECS/Fargate), serverless, IAM and OIDC, and infrastructure as code (Terraform or CDK).
• ETL/ELT and event-driven pipelines: idempotent jobs, queues, data quality checks, reprocessing.
• API design and integrations with enterprise systems (ERP, PLM, spec management).
• Security and compliance posture for enterprise sales: SOC 2, ISO 27001, or equivalent.
• You have taken a product from early architecture to scale at a startup, and you can say plainly what you would do differently next time.
• You have previously worked on projects with complex back-end systems; e.g. telco, energy, etc.

🏛️Responsibilities

• Write and own the architecture roadmap from today's product to the data hub, in clear steps, and get it adopted by the team and the founders.
• Balance immediate business needs with long term system maintainability.
• Design the canonical packaging data model and data contracts (SKU, component, material, supplier, jurisdiction, obligation) that become the single source of truth for customers and partners.
• Design and build the ingestion and integration layer: spreadsheets, PDFs, spec management systems (Specright, Trace One), ERP and PLM exports, partner APIs.
• Move the platform from early-stage serverless functions to a service architecture that scales (containerised services, queues, event-driven jobs) without stalling delivery.
• Own multi-region and data-residency design (US and EU isolated environments) and the security controls needed for SOC 2/ISO 27001 and enterprise due diligence.
• Define migration, versioning, and schema-change practices so customer data integrity never breaks.
• Partner with the Engineering Lead on the ML pipeline foundations: training data, model versioning, evaluation, monitoring.
• Set engineering standards for reviews, observability, and testing without adding bureaucracy.
• Be customer-facing when needed: technical due diligence, integration workshops, architecture Q&A with enterprise IT and security teams.
• Mentor engineers as the team grows and remove single points of failure in backend knowledge.
• 
  

✔ Required experience

• 8+ years of backend engineering, including 3+ years designing data-intensive, multi-tenant B2B SaaS platforms.
• Deep PostgreSQL: data modelling, performance, migrations, row-level security. Supabase experience is a plus.
• TypeScript and Node.js in production (Nest.js or a similar framework).
• AWS at depth: containerised services (ECS/Fargate), serverless, IAM and OIDC, and infrastructure as code (Terraform or CDK).
• ETL/ELT and event-driven pipelines: idempotent jobs, queues, data quality checks, reprocessing.
• API design and integrations with enterprise systems (ERP, PLM, spec management).
• Security and compliance posture for enterprise sales: SOC 2, ISO 27001, or equivalent.
• You have taken a product from early architecture to scale at a startup, and you can say plainly what you would do differently next time.
• You have previously worked on projects with complex back-end systems; e.g. telco, energy, etc.