Senior Software Engineer
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: Building high-performance services and applications in an end-to-end TypeScript environment (Deno backend + unified front-end framework). 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. 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.
Requirements
- 8+ years building modern web applications or distributed systems (enterprise experience strongly preferred).
- Strong background in at least one of: TypeScript, Node.js, Python, Go, Java, or C#.
- 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.
- 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
- Experience building and maintaining APIs, data pipelines, or backend primitives.
- Strong architectural intuition around distributed systems, eventing, and state management.
- Ability to design clean contracts between backend and frontend.
- Deep understanding of frontend state, caching, offline behavior, and storage semantics.
- Experience building rich, responsive interfaces for enterprise or operational users.
- Ability to work with cross-platform UI scaffolding for web, tablet, and desktop environments.
Responsibilities
- Building high-performance services and applications in an end-to-end TypeScript environment (Deno backend + unified front-end framework).
- 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.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
