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Information Technology 🏢 Full Time ⭐️ Verified

Software Engineer - Entry Level

NexusTech Innovations
San Diego
Estimated Salary
USD 85.000 – USD 115.000
New
Live Update
18 September 2026
Deadline
18 Sep 2027

Job Description

Join NexusTech Innovations, a leader in AI-driven software solutions, and launch your career in San Diego's thriving tech ecosystem. We're seeking passionate entry-level software engineers to build cutting-edge applications while receiving mentorship from industry veterans. Our collaborative environment combines agile methodologies with innovative projects spanning cloud infrastructure, machine learning, and user-centric design. Enjoy competitive benefits, flexible work options, and opportunities for rapid skill development in one of America's most dynamic tech hubs.

Responsibilities

  • Develop and maintain scalable software applications using modern frameworks (React, Python, Node.js)
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Write clean, efficient code following best practices and industry standards
  • Participate in code reviews and contribute to continuous improvement of development processes
  • Debug and resolve issues across full-stack applications
  • Document technical specifications and create user-friendly API documentation
  • Stay updated on emerging technologies through company-sponsored training

Qualifications

  • Recent graduate or 0-2 years of professional software development experience
  • Bachelor's degree in Computer Science, Engineering, or related field
  • Proficiency in at least one programming language (Python, Java, JavaScript, or C++)
  • Understanding of data structures, algorithms, and object-oriented programming
  • Familiarity with version control systems (Git) and CI/CD pipelines
  • Problem-solving skills with ability to break down complex challenges
  • Strong communication skills and eagerness to learn in a team environment

Required Skills

Python JavaScript React Node.js Git AWS Agile Machine Learning Problem Solving

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