Job Description
Position Overview:
We at ShyftLabs are seeking a highly motivated and curious Software Developer to join our growing engineering team. This role is ideal for students who are excited to learn, eager to build, and passionate about working on real-world challenges in a fast-paced, agile environment. The successful candidate will be highly technical, with a knack for solving complex problems.
ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
Design, develop, test, and debug software applications across the full stack
Collaborate with senior developers and tech leads to maintain architectural standards
Contribute to technical documentation and solution design discussions
Work with cutting-edge LLM-based technologies to craft innovative user experiences
Engage in agile development cycles including sprint planning, code reviews, and retrospectives
Write clean, scalable, and maintainable code with an emphasis on quality
Explore new technologies and suggest ways to improve products and processes
Participate in prototyping, estimation, and implementation of project features
Work closely with cross-functional teams including design, QA, and project management
Qualifications:
Degree in Computer Science, Engineering, or a related field
Proficiency in programming language (e.g., Python, JavaScript, Java, C++, or TypeScript)
Familiar with frontend technologies (HTML, CSS, React, Angular, etc.) and backend development, including RESTful API integration
Comfortable using version control tools like Git/GitHub and working with SQL or NoSQL databases
Understanding of Agile development practices and collaborative workflows
Strong problem-solving, analytical, and communication skills
Passionate about technology, eager to learn, and committed to writing clean, maintainable code
Exposure to AI tools such as OpenAI APIs or LLM-based technologies
$70 - $100 a year
This role is hybrid, with a minimum of 3 days per week spent in our Toronto office. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
