Software Engineer

What you get to do in this role
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
Contribute to the design and implementation of new products and features while enhancing existing product capabilities.
Integrate automated testing into development workflows to ensure consistent quality across releases.
Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
Develop comprehensive test strategies covering functional, regression, integration and performance aspects.
Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality.
Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team.
To be successful in this role you must have:
Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
2+ years of experience in software engineering, with a track record of delivering high-quality products.
Proficiency in Python, Java, or similar object-oriented languages.
Experience with modern front-end frameworks such as Angular, React, or Vue.
Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
Understanding software quality principles including reliability, observability, and production readiness.
Ability to troubleshoot complex systems and optimize performance across the stack.
Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems

Employment type
Full-time

Work arrangement
No