Senior Software Architect / Engineer

Safety ChainGrapevine, TX
Hybrid

About The Position

SafetyChain is building the next generation of enterprise software for the supply chain—systems that actually help operators think, decide, and act in real time. We're assembling a senior engineering group in the Dallas–Fort Worth metroplex to build this platform from the ground up using a modern, AI-first development environment. Who We Are SafetyChain is a rapidly scaling B2B SaaS provider revolutionizing plant management for Food and Beverage manufacturers by improving yield, maximizing productivity, and ensuring compliance. Our impressive client base includes renowned brands like Albertsons, Clif Bar, Tyson Foods, and Whole Foods. Join a dynamic, collaborative team driven by innovation, agility, and rapid growth. What You'll Do You'll help design and build the foundations of SafetyChain's next-gen platform—enterprise-grade, AI-enabled, and capable of supporting a wide range of operational workflows across the food & beverage supply chain. This includes: Architecting and building high-performance services and applications across the full stack in an end-to-end TypeScript environment (Deno backend + unified front-end framework). Owning end-to-end system design—from data models and service boundaries to API contracts and UI integration. Working in a monorepo with strong engineering conventions and automated tooling to accelerate iteration. Using AI-driven developer workflows (code generation, scaffolding, automated tests, modeling, inference-based data mapping, etc.) to dramatically speed up delivery. Making pragmatic architectural decisions—knowing when to build, when to buy, and when to rely on the surrounding ecosystem. Designing systems where platforms emerge from real demand rather than speculative abstraction. Contributing to an "office-first when collaboration matters" culture that values high-bandwidth problem solving and clear ownership. Building enterprise-scale features with attention to reliability, data semantics, and real-world operational constraints. Partnering closely with Product and AI/ML teams to translate domain complexity into clean, scalable systems. What You Bring You don't need to show up as a TypeScript, Node, or Deno expert—but you must be the kind of engineer who can learn fast, adapt faster, and enjoy working with modern tooling. Core Experience 8+ years building modern web applications or distributed systems, with enterprise experience strongly preferred.

Requirements

  • 8+ years building modern web applications or distributed systems, with enterprise experience strongly preferred.
  • Proven experience as a full-stack or platform engineer—comfortable owning systems across the entire stack, not just a layer.
  • Strong background in at least one of: TypeScript, Node.js, Python, Go, Java, or C#.
  • Domain Driven Design (DDD) experience.
  • Experience with multiple data storage models—document, columnar, relational—and clear reasoning about tradeoffs.
  • Ability to design and debug systems that operate at real-world scale and complexity.
  • Strong architectural intuition around distributed systems, eventing, and state management.
  • Experience building and maintaining APIs, data pipelines, and backend primitives.
  • Ability to design clean contracts between services and across system boundaries.
  • A practical mindset: you don't reinvent authentication, messaging, or streaming engines unless there's a damned good reason.
  • Comfort with hybrid work and in-office collaboration for high-context problem-solving.

Nice To Haves

  • Frontend Fluency We build for operators, so interfaces matter—but we're not hiring for frontend depth. If you have experience building responsive, cross-platform UIs for enterprise or operational users, that's a plus. What we care about most is that you understand the full system and can reason clearly about where the UI fits.

Responsibilities

  • Architecting and building high-performance services and applications across the full stack in an end-to-end TypeScript environment (Deno backend + unified front-end framework).
  • Owning end-to-end system design—from data models and service boundaries to API contracts and UI integration.
  • Working in a monorepo with strong engineering conventions and automated tooling to accelerate iteration.
  • Using AI-driven developer workflows (code generation, scaffolding, automated tests, modeling, inference-based data mapping, etc.) to dramatically speed up delivery.
  • Making pragmatic architectural decisions—knowing when to build, when to buy, and when to rely on the surrounding ecosystem.
  • Designing systems where platforms emerge from real demand rather than speculative abstraction.
  • Contributing to an "office-first when collaboration matters" culture that values high-bandwidth problem solving and clear ownership.
  • Building enterprise-scale features with attention to reliability, data semantics, and real-world operational constraints.
  • Partnering closely with Product and AI/ML teams to translate domain complexity into clean, scalable systems.
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