Lead Full-Stack Software Engineer

The Role

Datacor is modernizing its flagship ERP platform the enterprise-grade, multi-tenant system that hundreds of process-manufacturing customers run their business on. We are looking for a Senior Full-Stack Software Engineer to deliver end-to-end features, contributing to both the backend services and the web client. You will join a tight-knit engineering team building toward our next major release, working across accounting, inventory, purchasing, sales, and manufacturing modules that serve thousands of customers in the process-manufacturing industry.

This role is hands-on. You will design schemas, write services, ship UI, write tests, review PRs, and help drive the architecture forward. You will be expected to be a productive partner to AI-assisted development tools we use Claude Code extensively as part of daily development, and we are looking for engineers who can leverage these tools while maintaining a high bar for code quality and architectural judgment.

Responsibilities

• Build and ship features end-to-end from database schema and backend services through to the user-facing web client.
• Design new domain modules using our established architectural patterns and conventions.
• Own multi-tenant correctness by writing migrations that comply with Row-Level Security, respecting the RLS transaction context in queries, and following the persist/flush discipline.
• Integrate with shared platform services background jobs, real-time updates, file storage, email, document intelligence, and authentication and authorization.
• Leverage AI tools effectively use Claude Code (and similar) to accelerate routine work, while exercising judgment on what to accept, adapt, or reject.
• Raise the bar on quality through code review, type-safety, performance discipline (no N+1 queries, lazy loading, parallel APIs), and adherence to our trunk-based development workflow.
• Collaborate cross-functionally with product managers, tech leads, QA, UX, and domain experts to translate functional requirements into well-designed software.
• Contribute to platform evolution propose improvements to shared libraries (DTOs, validation rules, i18n, shared constants), the metadata system, and developer tooling.

Qualifications Required

• 5+ years of professional software engineering experience building production web applications.
• Strong TypeScript across both frontend and backend, with comfort moving fluidly between the two.
• Solid React experience (hooks, component composition, performance, state management) in a non-trivial application.
• Server-side experience with Node.js and a structured framework NestJS preferred; Express, Fastify, or comparable accepted.
• Relational database fluency PostgreSQL preferred, including schema design, indexing, and writing migrations. Familiarity with an ORM (MikroORM, TypeORM, Prisma, Hibernate, etc.).
• Multi-tenant or SaaS experience and an understanding of why tenant isolation matters (RLS, scoped queries, or equivalent approaches).
• Modern delivery practices Git, pull requests, CI/CD, code review, testing, and trunk-based or short-lived-branch workflows.
• Demonstrated productivity with AI coding assistants (Claude Code, Cursor, Copilot, or similar). You can describe concrete examples of how you use them, where they help, and where you override them.
• Strong communication written, verbal, and in code reviews. You can explain trade-offs, push back constructively, and document decisions.

Preferred

• ERP or business-application domain knowledge general ledger, AR/AP, inventory, purchasing, sales orders, bank reconciliation, or process-manufacturing concepts. This is a meaningful plus; we can teach the domain, but prior exposure shortens ramp-up.
• Process-manufacturing experience (chemicals, food and beverage, coatings, etc.) or familiarity with formulation, lot tracking, or compliance requirements.
• AWS hands-on experience with ECS, RDS, S3, CDK, or Bedrock.
• Document intelligence, RAG, or LLM integration in a production system.
• Internationalization and accessibility experience in a multi-locale product.

Use of AI During Interviews

At Datacor, we value thoughtful problem-solving and authentic perspectives. To ensure a fair and consistent evaluation process, we ask that candidates do not use generative AI tools or outside assistance during live interviews unless explicitly stated otherwise. We're interested in hearing your experience, your approach, and how you think through challenges.