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Junior Mern Stack Developer Jobs in Leander, TX (NOW HIRING)

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Junior Mern Stack Developer information

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How much do junior mern stack developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior mern stack developer in Leander, TX is $85,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $83,100.00 per year, depending on experience, location, and employer.

What is a junior MERN Stack Developer?

A Junior MERN Stack Developer is an entry-level software developer who specializes in building web applications using the MERN stack, which consists of MongoDB, Express.js, React, and Node.js. They assist in developing, testing, and maintaining both front-end and back-end components of web applications. Typical responsibilities include writing clean code, fixing bugs, collaborating with senior developers, and integrating APIs. Strong foundational knowledge of JavaScript, database management, and version control (e.g., Git) is essential. This role is ideal for individuals looking to gain hands-on experience and grow their skills in full-stack development.

What kind of projects or tasks might a junior MERN Stack Developer typically work on?

As a Junior MERN Stack Developer, you will often be involved in building and maintaining web applications, implementing new features, and fixing bugs within the application stack. Your day-to-day work may include writing code for both front-end (using React.js) and back-end (using Node.js and Express), working with databases like MongoDB, and collaborating closely with other developers, designers, and project managers. You may also be asked to participate in code reviews, contribute to team discussions on architecture or user experience, and learn best practices for scalable and maintainable code. This hands-on experience helps you develop your technical skills and prepares you for more advanced responsibilities as your career progresses.

What are the key skills and qualifications needed to thrive in the junior MERN Stack Developer position, and why are they important?

To thrive as a Junior MERN Stack Developer, you need a solid understanding of JavaScript, React.js, Node.js, Express, and MongoDB, typically supported by a relevant degree or coding bootcamp. Familiarity with version control systems like Git, Agile development practices, and basic knowledge of RESTful APIs are highly valued, while certifications in web development can enhance your candidacy. Strong problem-solving abilities, good communication skills, and a willingness to learn enable effective collaboration and growth in this role. These skills and qualities are essential for building efficient web applications and contributing successfully to dynamic development teams.

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For Junior Mern Stack Developer jobs in Leander, TX, the most frequently searched job titles are:

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What cities near Leander, TX are hiring for Junior Mern Stack Developer jobs?

Cities near Leander, TX with the most Junior Mern Stack Developer job openings:

Infographic showing various Junior Mern Stack Developer job openings in Leander, TX as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $85,017 per year, or $40.9 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX โ€ข On-site

Full-time

Re-posted 13 days ago


Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What You Will NOT Be Doing
  • Pretending AI is optional. If you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
  • Based in Austin, TX.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.