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Oak Ridge, TN · On-site
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Senior Full Stack Developer Node Js information
What are Senior Full Stack Developers specializing in Node.js?
What are the key skills and qualifications needed to thrive as a Senior Full Stack Developer (Node.js), and why are they important?
What is the salary of a senior full stack developer?
Is Node.js still in demand?
What are some common challenges Senior Full Stack Developers face when integrating Node.js backends with diverse front-end frameworks?
What is the difference between Senior Full Stack Developer Node Js vs Full Stack Developer?
| Aspect | Senior Full Stack Developer Node Js | Full Stack Developer |
|---|---|---|
| Required Experience | 5+ years, leadership skills | 1-3 years, entry to mid-level |
| Technical Skills | Expertise in Node Js, JavaScript, databases, architecture | Proficiency in multiple languages, frameworks, basic architecture |
| Work Environment | Complex projects, team leadership, client interaction | Development tasks, learning, project support |
| Certifications | Relevant certifications (e.g., AWS, Scrum) | Optional, beginner certifications |
Senior Full Stack Developer Node Js typically has more experience, leadership responsibilities, and advanced technical skills in Node Js. Full Stack Developer roles are more focused on development tasks across various technologies, often suitable for less experienced professionals. The senior role involves guiding projects and making architectural decisions, while the full stack developer primarily contributes to coding and implementation.
Will Fullstack be replaced by AI?
How much does a Node.js developer make?
Job description
Full-Stack Software Engineer (Agents & Rapid Prototyping)
Location: Remote (US-friendly hours)
Type: Full-time (founding/early engineer)
Team: Small, passionate, ego-free builders
Why this role
We’re hunting for product–market fit. That means we ship POCs fast, test hypotheses daily, and aren’t afraid to throw work away if the data says so. If you code for fun, ask “why” before “how,” and love turning messy problems into scrappy automation that actually saves people time—this is your playground.
What you’ll do
Prototype at lightning speed: Build and ship POCs, internal tools, and production features in days—not weeks.
Work with LLMs & SLMs: Integrate, evaluate, and fine-tune models; design agentic workflows that reduce manual work.
Automate the boring stuff: Sniff out bottlenecks, redundancies, and paper cuts; replace them with lightweight automations.
Balance build vs. buy: Pragmatically choose off-the-shelf services vs. custom code; optimize for speed, cost, and learning.
Own the stack end-to-end: APIs, data models, frontends, deployments, instrumentation, and on-call for what you build.
Collaborate without ego: Pair with design, product, and GTM to clarify the “why,” define thin slices, and ship continuously.
Ruthlessly iterate: Be comfortable restarting weekly if needed; measure outcomes, not lines of code.
Outcomes (how we’ll measure success)
2–3 prod-quality launches/month from idea → shipped.
Clear learning loops: each release produces measurable signal (conversion, retention, time-saved).
Automation ROI: hours saved/team/week; decreased cycle time; reduced ops tickets.
Agent impact: at least one agent in steady use by internal or pilot users within first 60 days.
You might be a fit if you
Have 4+ years building full-stack products (or equivalent portfolio/hacker track record).
Are fluent in a modern web stack (e.g., TypeScript/Node, Python, React/Next; Postgres/Redis; REST/GraphQL).
Have shipped LLM/SLM features (tool use, RAG, function calling, evals, latency/cost tuning).
Can design simple, resilient backends; write clean, testable code; and deploy via CI/CD to a major cloud.
Love debugging with data: logs, traces, metrics; you instrument before you guess.
Communicate crisply, ask sharp questions, and default to action.
Thrive in ambiguity; you don’t need a JIRA novella to start building.
Nice to have
Vector DBs, embeddings, prompt/version management, offline evals.
Agent frameworks (e.g., OpenAI tools, LangGraph, custom planners/executors).
Queueing/event systems (e.g., Kafka, SQS), WebSockets, streaming.
Security and privacy basics (authn/z, secrets, PII handling).
Experience with low-cost scrappy stacks (Cloudflare, Fly.io, Supabase, Firebase).
Our stack (evolving)
FE: React/Next.js, Tailwind, tRPC/GraphQL
BE: Node/TypeScript and/or Python FastAPI
Data: Postgres, Redis/Upstash, optional vector store
Infra: Vercel/Fly.io/Cloudflare + Docker; CI/CD (GitHub Actions)
AI: OpenAI, Anthropic, local SLMs when useful; evaluation harness + prompt/version control
How we work
Learn > Perfect: Ship thin slices, get signal, iterate.
Write it down: Short RFCs → prototype → user feedback within days.
Builder culture: No rockstars, no heroes—just ownership and curiosity.
Time-zone friendly: Async first; quick huddles when needed.
Interview flow
Intro chat (30 min): goals, mindset, what great looks like.
Builder exercise (home or live, 2–4 hrs): ship a tiny agent or automation; explain trade-offs.
Technical deep dive (60 min): architecture, data modeling, reliability, AI evals/cost.
Team fit (30 min): collaboration, feedback loops, “why before what.”
Compensation
Competitive salary + meaningful equity. We optimize for ownership and impact.