Emerging technical contributor: Write clean, tested code with guidance while learning to create documentation and following deployment procedures to support reliable software.

Customer-aware developer: Support the translation of customer requirements into technical solutions and assist in implementing new features.

Eager team player: Apply your growing technical skills while learning from senior engineers through code reviews, pair programming, and knowledge sharing.

Learning-focused contributor: Address immediate tasks effectively while developing skills to identify opportunities for improvement in code quality and processes. 1-2 years of software engineering experience.

Interest in business operations and strategies, with curiosity about business IT.

Demonstrated ability or eagerness to learn how to translate technical concepts into user-facing features.

Understanding of agile methodologies and willingness to adopt a design-thinking mindset.

Strong collaboration, adaptability, and flexibility with the ability to learn time management and prioritization skills in a globally distributed development team.

Good oral and written communication skills with willingness to learn to explain technical decisions.

Basic understanding of writing clean code with eagerness to learn maintainable and efficient practices.

Developing understanding of how code changes affect different parts of a system. A bachelor's degree in computer science, Engineering, or related technical discipline.

You must have permanent work authorization in the United States.

Work closely with a team of software engineers to contribute to complex software solutions.

Develop maintainable, scalable code that meets business requirements and team standards with guidance from senior team members.

Participate in an agile environment with business stakeholders, product owners, solutions engineers and other software engineers to understand and implement stories using good engineering practices.

Support speed to market by working on current product needs and learning long-term strategic solutions using technologies such as React, TypeScript, JavaScript, Node.js, and other potential backend languages.

Assist in integrating AI/ML models and services into applications, learning about model deployment, monitoring, and optimization for production environments.

Support collaboration with data science teams to help implement machine learning pipelines, data preprocessing workflows, and automated model training processes.

Assist with production deployments and support under supervision.