Software Engineer II

You'll join a small, full-stack engineering team building a complex SaaS platform with deep Shopify integration across three apps (merchant dashboard, admin portal, embeddable widgets) and 40+ shared packages. We're looking for someone who thrives working across the entire stack—Next.js/React frontend, TypeScript/GraphQL, AWS Lambda backend—who can own features end-to-end and help us scale our platform while maintaining code quality.

What you'll do

• —Design, develop, test, and maintain complex features and components for cloud-based SaaS applications.
• —Lead the development of medium to large-sized features, taking ownership from design to deployment and monitoring.
• —Architect and implement solutions that are scalable, resilient, and maintainable.
• —Proactively identify and address technical debt and architectural improvements.
• —Provide technical leadership and guidance to junior engineers, including code reviews and mentoring.
• —Collaborate with product managers and stakeholders to define and refine technical requirements.
• —Troubleshoot and resolve complex production issues, including performance and scalability problems.
• —Contribute to the selection and evaluation of new technologies and tools.
• —Stay up-to-date with industry best practices and emerging technologies.

What you'll bring

• —Bachelor's degree in Computer Science, Engineering, or equivalent and 2-4 years of relevant experience is required. Alternatively, an equivalent combination of education and experience is required.
• —Expert-level proficiency in programming principles (e.g. OOP, functional) and design patterns (e.g. DRY, SOLID, IoC).
• —Expert-level proficiency in at least one frontend framework (React, Angular, or Vue) and experience with advanced UI concepts.
• —Expert-level proficiency in at least one backend language (Node.js, PHP, Python, or Go) and experience with microservices architecture.
• —Extensive experience with database design, optimization, and NoSQL databases.
• —Extensive experience with CI/CD pipelines, automated deployment tools, and infrastructure-as-code.
• —Proven experience leading small to medium-sized development teams in an Agile environment.
• —Extensive experience with cloud platforms (e.g., AWS, Azure, GCP), including a deep understanding of cloud-native architectures.
• —Experience with monitoring, logging, and alerting systems.
• —Experience with security best practices for web applications.
• —Proficiency in prompt engineering and experience in using AI coding assistant tool in day-to-day work.
• —Fluent in English.