Datacor, Inc. Logo

Datacor, Inc.

Lead Full-Stack Software Engineer

Posted Yesterday
Remote
Hiring Remotely in US
Senior level
Remote
Hiring Remotely in US
Senior level
Design, implement, and ship end-to-end features across backend services and a React web client for a multi-tenant ERP. Own schema design, migrations respecting row-level security, integrations with platform services, and deliver high-quality, performant code with CI/CD, tests, and code review. Leverage AI coding assistants responsibly and collaborate cross-functionally to evolve shared platform libraries and developer tooling.
The summary above was generated by AI

About Us:

Datacor is the leading provider of software solutions, including ERP, CRM, Asset Tracking, Simulation and Formulation, to the process manufacturing space. We are on a mission to better equip the industry with software solutions and move it forward by building thoughtful, intuitive products that solve our customers’ most difficult problems.

We are passionate about serving our customers and helping them use data as a competitive advantage. Our customers make products that extend and sustain lives by sanitizing, fertilizing, beautifying, cleaning, and recycling the world we live in. We at Datacor help our customers make those products you use every day more safely, cost effectively and more efficiently through our technology platforms and applications.

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. 

EOE Statement:

Datacor is an Equal Opportunity Employer and does not discriminate on the basis or race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. 

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. 


Similar Jobs

19 Days Ago
Remote or Hybrid
179K-205K Annually
Mid level
179K-205K Annually
Mid level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the development and maintenance of Capital One's marketing website, focusing on performance, collaboration with stakeholders, and continuous optimization of front-end technologies.
Top Skills: AWSCi/CdContentful CmsFigmaGCPAzureNext.JsReactShadcn UiTailwind.CssTypescript
21 Days Ago
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Lead Full Stack Software Engineer will design, develop, and test software applications, collaborate with teams, and contribute to healthcare IT solutions.
Top Skills: AgileC#Cloud PlatformsDevOpsFhirGitNoSQLPythonSQL
20 Days Ago
Remote or Hybrid
209K-262K Annually
Senior level
209K-262K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead a diverse technology portfolio and a team of developers to create solutions meeting regulatory needs. Collaborate on cloud-based projects and mentor engineers.
Top Skills: AWSDockerGoJavaJavaScriptKubernetesPythonSQLTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account