Application Developer

Machine Learning Technologies, LLC; Burbank (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in California is seeking a senior software engineer to design and build end-to-end software solutions, focusing on scalable, maintainable systems. You will drive the full SDLC from concept to production deployment.

Collaborate with cross-functional teams including product, design, and data science, embrace agile practices, and contribute to code quality through automated testing and CI.

Qualifications

• 5+ years of experience in software engineering.
• Proficient in Java, Python, JavaScript/TypeScript or Node.js.
• Experience with front-end frameworks (React/Angular/Vue.js) and design hand-off tools (Figma Inspect).
• Back-end microservices with event-driven architectures on AWS.

Responsibilities

• Design & development: Build end-to-end software solutions with modern languages/frameworks.
• Collaboration: Work with cross-functional teams to deliver value-driven releases.
• Quality & performance: Write clean, well-documented code with automated tests and CI.
• Continuous learning: Master AWS serverless, front-end frameworks, data analytics, and DevOps best practices.

Skills

Java

Python

JavaScript/TypeScript

Node.js

Education

Bachelor’s or Master’s degree in computer science, engineering, related technical field

Tools

AWS

AWS Lambda

SQS

Fargate

React

Angular

Vue.js

Figma Inspect

Spring Boot

Job description

Job Responsibilities / Typical Day in the Role

• Design & development:
  
  
  
  • Build end-to-end software solutions using modern programming languages and frameworks
  
  
  • Architect scalable, robust systems with a focus on long-term maintainability and performance
  
  
  • Drive the full software development lifecycle—from initial concept and rapid prototyping to production deployment and continuous improvement
  
  
  
  


• Collaboration:
  
  
  
  • Work closely with cross-functional pods to understand challenges and problem solve technology-driven solutions, often working with uncertainty and/or partial information
  
  
  • Embrace agile practices by iteratively refining user stories through collaboration with product owners, designers and data scientists to ensure that every release delivers on business user expectations
  
  
  • Actively engage in discussions to break down user stories into meaningful, value-driven slices that reflect true end-to-end functionality
  
  
  • Drive continuous improvement of our engineering practices to ensure that every release meets high quality standards
  
  
  
  


• Quality & performance:
  
  
  
  • Write clean, efficient, and well-documented code with a strong emphasis on automated testing and continuous integration
  
  
  • Monitor system performance, troubleshoot issues, and implement enhancements to ensure optimal performance
  
  
  • Maintain and improve existing codebases, applying modern practices and tools to enhance functionality and security
  
  
  
  


• Continuous learning:
  
  
  
  • This developer embraces a continuous learning mindset—mastering AWS serverless, modern front-end frameworks, data analytics, and DevOps best practices while actively engaging in agile collaboration and adaptable, proactive problem-solving
  
  
  
  

Must Have Skills / Requirements

1. Proficient in Java, Python, JavaScript/TypeScript, or Node.js
   
   
   
   • 5+ years of experience.
   
   
   
   


2. Front-end Framework and Design Hand-off Tool experience
   
   
   
   • 5+ years of experience. Front-End examples: React, Angular, or Vue.js. Design Hand-off Tool example: Figma Inspect
   
   
   
   


3. Deep expertise in back-end frameworks
   
   
   
   • 5+ years of experience. Example framework: (e.g. Spring Boot). Looking for those who focus on developing modular, maintainable microservices that interact via event-driven architectures (using AWS Lambda, SQS, Fargate, etc.)
   
   
   
   

Nice to Have Skills / Preferred Requirements

• Experience with Waterfall methodologies.

Soft Skills

• Solid understanding of agile development methodologies and software engineering best practices.


• Excellent problem-solving skills and the ability to work collaboratively in diverse, cross-functional teams.

Education / Certifications

• Bachelor’s or master’s degree in computer science, engineering, related technical field or related work experience.

We are an equal opportunity employer.

All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.

We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.