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Java Full Stack With React Jobs in Franklin, TN (NOW HIRING)

Work with LLMs & SLMs: Integrate, evaluate, and fine-tune models; design agentic workflows that ... Are fluent in a modern web stack (e.g., TypeScript/Node , Python , React/Next ; Postgres/Redis;

Develop React/TypeScript (Next.js) interfaces used by both internal teams and clients to manage ... Experience with both traditional software development lifecycle and agentic software development ...

Develop React/TypeScript (Next.js) interfaces used by both internal teams and clients to manage ... Experience with both traditional software development lifecycle and agentic software development ...

Develop React/TypeScript (Next.js) interfaces used by both internal teams and clients to manage ... Experience with both traditional software development lifecycle and agentic software development ...

Full-Stack Delivery:** Build end-to-end features spanning server-side rendering, API integration ... Expert-level proficiency in TypeScript and React * Hands-on experience with Next.js, including App ...

Full-Stack Delivery:** Build end-to-end features spanning server-side rendering, API integration ... Expert-level proficiency in TypeScript and React * Hands-on experience with Next.js, including App ...

Full-Stack Delivery:** Build end-to-end features spanning server-side rendering, API integration ... Expert-level proficiency in TypeScript and React * Hands-on experience with Next.js, including App ...

The Full Stack Engineer (Level 2) is a hands-on engineering role focused on maintaining, enhancing ... NET technologies, along with solid fullstack development skills across backend services, frontend ...

The Full Stack Engineer (Level 2) is a hands-on engineering role focused on maintaining, enhancing ... NET technologies, along with solid fullstack development skills across backend services, frontend ...

The Full Stack Engineer (Level 2) is a hands-on engineering role focused on maintaining, enhancing ... NET technologies, along with solid fullstack development skills across backend services, frontend ...

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Java Full Stack With React information

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How much do java full stack with react jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for java full stack with react in Franklin, TN is $57.35, according to ZipRecruiter salary data. Most workers in this role earn between $49.86 and $64.33 per hour, depending on experience, location, and employer.

What does a Java full stack developer with React do?

A Java Full Stack Developer with React is responsible for building both the backend and frontend of web applications. On the backend, they use Java technologies like Spring Boot to create APIs and manage data processing. On the frontend, they use React to develop interactive user interfaces. This role requires a solid understanding of databases, server-side logic, and client-side frameworks to deliver complete, functional web solutions.

What are the key skills and qualifications needed to thrive as a Java full stack developer with React?

To thrive as a Java Full Stack Developer with React, you need strong proficiency in Java for backend development, expertise in React.js for frontend, and a solid grasp of web technologies such as HTML, CSS, and JavaScript, often supported by a relevant degree or certifications. Familiarity with frameworks like Spring Boot, RESTful APIs, version control systems like Git, and databases such as MySQL or MongoDB is typically required. Excellent problem-solving, teamwork, and communication skills help you collaborate effectively and adapt to changing project demands. These skills and tools are crucial for building scalable, robust applications and ensuring seamless integration across the tech stack.

What are some common challenges Java full stack developers with React face when balancing front-end and back-end development tasks?

Java Full Stack Developers working with React often juggle the demands of both client-side and server-side development, which can present unique challenges. For example, integrating React-based front-end components with Java back-end APIs requires attention to data flow, state management, and consistency in API design. Additionally, keeping up with updates in both Java and React ecosystems, managing deployment pipelines, and ensuring seamless communication between front-end and back-end services are typical hurdles. Effective time management and clear communication with team members across specialties are key to overcoming these challenges.

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Cities near Franklin, TN with the most Java Full Stack With React job openings:

Senior Full Stack Developer

NxT Level

Nashville, TN • On-site

Full-time

Re-posted 29 days ago


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
  1. Intro chat (30 min): goals, mindset, what great looks like.
  2. Builder exercise (home or live, 2-4 hrs): ship a tiny agent or automation; explain trade-offs.
  3. Technical deep dive (60 min): architecture, data modeling, reliability, AI evals/cost.
  4. Team fit (30 min): collaboration, feedback loops, "why before what."

Compensation
Competitive salary + meaningful equity. We optimize for ownership and impact.