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Entry Level Junior Software Engineer Jobs in Austin, TX

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Entry Level Junior Software Engineer information

See Austin, TX salary details

$46.1K

$93.7K

$140.8K

How much do entry level junior software engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for entry level junior software engineer in Austin, TX is $93,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $94,700.00 per year, depending on experience, location, and employer.

What does an entry level junior software engineer do?

An Entry Level Junior Software Engineer is typically responsible for assisting with designing, coding, testing, and maintaining software applications under the supervision of more experienced engineers. They often work on fixing bugs, writing simple code modules, and learning about the company's software development processes. This role is a starting point for new graduates or individuals with limited professional experience, allowing them to build foundational skills and gain exposure to real-world software projects.

What are the key skills and qualifications needed to thrive as an entry level junior software engineer?

To thrive as an Entry Level Junior Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by a degree in computer science or a related field. Familiarity with common programming languages (such as Java, Python, or JavaScript), version control systems like Git, and basic knowledge of software development tools is essential. Strong problem-solving skills, attention to detail, and effective communication set standout candidates apart. These skills and qualities are crucial for successful collaboration, writing reliable code, and contributing effectively to team-based software projects.

What are some common challenges faced by entry level junior software engineers during their first year on the job?

Entry Level Junior Software Engineers often encounter the challenge of adapting to new codebases and development tools, which may differ significantly from what they've used in school or internships. They may also find it difficult to estimate task durations or understand complex requirements without prior experience. Frequent collaboration with senior engineers and participating in code reviews can help accelerate learning and build confidence. Over time, mastering effective communication and time management becomes essential for success in fast-paced development environments.

What is the difference between Entry Level Junior Software Engineer vs Software Developer?

AspectEntry Level Junior Software EngineerSoftware Developer
Required CredentialsBachelor's in CS or related field; some internshipsBachelor's in CS or related field; coding experience
Work EnvironmentTeam-based, collaborative projects, entry-level tasksProject-focused, coding, debugging, and implementation
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech startups, enterprise IT
Common Search & ComparisonYesYes

Entry Level Junior Software Engineers and Software Developers often share similar educational backgrounds and work environments. The main difference lies in job focus: engineers may be involved in designing systems and architecture, while developers typically focus on coding and implementation. Both roles are common in tech industries and often overlap in entry-level positions, making them frequently compared by job seekers.

Can I become an entry level junior software engineer with no experience?

Entry level junior software engineer positions often require some foundational knowledge of programming languages such as Python, Java, or C++, and familiarity with development tools. While prior work experience is not always necessary, demonstrating coding skills through projects, internships, or certifications can improve your chances of securing an entry-level role.

Is 25 too late to become an entry level junior software engineer?

Entry level junior software engineer roles are open to individuals of various ages, including those starting their careers at 25 or later. Many employers value skills, relevant training, and a willingness to learn over age, and career changers often successfully transition into these roles by gaining programming skills through courses, certifications, or self-study.

What are popular job titles related to Entry Level Junior Software Engineer jobs in Austin, TX?

For Entry Level Junior Software Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Junior Software Engineer jobs in Austin, TX look for?

The top searched job categories for Entry Level Junior Software Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Junior Software Engineer jobs?

Cities near Austin, TX with the most Entry Level Junior Software Engineer job openings:

Entry Level Junior Software Engineer jobs near you
Infographic showing various Entry Level Junior Software Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $93,711 per year, or $45.1 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX

Full-time

Re-posted 20 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.

Apply