Associate Software Engineer

Company Description LushWare transforms complex manual workflows into intelligent, autonomous systems for scaling enterprises. The company designs custom Business Intelligence dashboards and advanced automation solutions that reduce human error and operational friction. By delivering real-time, actionable insights, LushWare helps organizations make faster, better-informed decisions. Team members collaborate closely with clients to build tailored solutions that streamline processes and improve performance.
Role Description The Associate Software Engineer role at LushWare is a part-time, remote position focused on supporting the design and development of automation and data-driven systems. Day-to-day tasks include implementing back-end features, writing and testing code, assisting in the integration of data sources into Business Intelligence dashboards, and troubleshooting technical issues. The role also involves collaborating with senior engineers to refine system architecture, participating in code reviews, and documenting technical solutions. The Associate Software Engineer will work closely with cross-functional team members to ensure that software solutions align with client requirements and performance standards.
Qualifications
Strong foundation in Computer Science concepts, including data structures, algorithms, and software engineering principles.
Practical experience in Programming and Object-Oriented Programming (OOP), using one or more modern languages (e.g., Python, Java, C#, or similar).
Skills in Software Development practices, including version control, testing, debugging, and deployment workflows.
Knowledge of Back-End Web Development, such as APIs, databases, and server-side frameworks.
Ability to learn new tools and technologies quickly and apply them to real-world problems.
Strong analytical and problem-solving skills with attention to detail and code quality.
Effective written and verbal communication skills, with the ability to collaborate in a remote team environment.
Enrollment in or completion of a degree in Computer Science, Software Engineering, or a related field is preferred.
Familiarity with Business Intelligence concepts, data visualization tools, or automation platforms is a plus.

Work arrangement
Yes