Senior Software Engineer (West Coast USA)

About MISUMI Americas
MISUMI Americas, a division of MISUMI Group, is a leading provider of standard, configurable, and custom manufacturing solutions. By integrating a vast catalog of components with a world-class digital manufacturing platform, MISUMI Americas empowers engineers and procurement teams to accelerate innovation across the entire product lifecycle. With operations in the San Francisco Bay Area and Chicago, the company serves as a vital partner for the most innovative companies in the Americas.
Senior Software Engineer
Location: Remote (West Coast USA)
Company: MISUMI Americas
PLEASE NOTE: Final-round interviews will be conducted in person in either Oakland, California, or Portland, Oregon.
Build the Future of Manufacturing
Manufacturing is a $13 trillion industry, and most of it is still held together by spreadsheets, phone calls, and fax machines. MISUMI Americas is rewriting that.
We've been building a cloud-based, AI-powered digital manufacturing platform that takes companies from prototype to production faster than the industry thought possible. Our platform pairs intelligent software with a global network of vetted manufacturing partners, powering innovation across electric vehicles, robotics, and next-generation consumer products.
We're scaling fast, and we're looking for engineers who'd rather untangle hard, real-world problems than push pixels on a toy app.
You'll join the team that owns costing, pricing, lead time, and DFM (design for manufacturability) for our instant quoting platform. When a customer uploads a part, our systems decide what it costs, when it ships, and whether it can be made. Accuracy matters; our output directly drives revenue and customer trust.
We build with AI agents as a core part of how we work. We're looking for strong engineers who use agents to plan, implement, and test faster, and who have the judgment to know when the output is wrong.
What You'll Do
As a Senior Backend Engineer, you'll help build and scale the systems running our global manufacturing ecosystem:
Design and develop highly available, scalable backend services in AWS
Build and maintain event-driven, asynchronous systems using Node.js
Create robust APIs (REST / GraphQL) powering customer-facing and internal tools
Use AI coding agents to take features from design through implementation and testing, while owning the correctness of every change
Write specs, tests, and repo context that make agent-driven development reliable in a large, established codebase
Partner closely with product, frontend, and infrastructure teams to ship features that actually move the business
Contribute to technical design discussions and drive best practices across the team
Help shape how the team works with AI: sharing patterns, tooling, and lessons learned
Debug production issues and improve system reliability
Continuously improve code quality through testing, observability, and documentation
What You Bring
5 + years of backend engineering experience
Strong skills in Node.js, JavaScript/TypeScript
Experience building systems on AWS (SQS, Lambda, EC2, RDS, etc.)
Solid understanding of distributed systems and event-driven architectures
Experience designing and maintaining REST or GraphQL APIs
Familiarity with SQL and NoSQL databases
A commitment to writing unit and integration tests
Knowledge of system design, caching, and security best practices (OWASP Top 10)
Hands-on experience shipping production code with AI coding agents (e.g., Claude Code, Cursor, Copilot agent mode), with clear examples of where you had to step in, correct, or override them
Strong code review skills, applied just as rigorously to AI-generated changes
Must be a U.S. citizen or lawful permanent resident (green card holder)
Nice to have:
AWS certification
Experience with high-scale or business-critical systems
Experience with pricing, quoting, or other numerically sensitive business logic
Experience building agent workflows, custom tools, or MCP integrations for your team
How You Work
You take ownership and ship clean, maintainable, production-ready code
You treat AI as a force multiplier, not a substitute for understanding the system