Full-Stack Software Engineer (React/Node.js)

About the Position

We are seeking a Full-Stack Software Engineer (React/Node.js) to join our Finance Technology Delivery team as we accelerate innovation and support future growth through technology solutions. The Software Engineer will be responsible for building mission-critical Integrations between source data with financial SaaS and the client’s applications.

Our client is a leading U.S. fashion retailer, offering apparel, footwear, beauty, and home goods. It operates 350+ stores and robust online platforms, combining in-store and digital experiences.

Responsibilities

• Contribute to projects involving multiple teams.
• Participate in design discussions, follow engineering best practices, and conduct code reviews for peers.
• Resolve complex engineering problems, collaborating with others.
• Facilitate cross-functional troubleshooting, root cause analysis, and engage others when needed.
• Responsible for creating, evaluating, and contributing to feature detailed designs.
• Design, develop, and implement software utilizing an agile project cycle.
• Mentor others on the team and raise the bar for technical knowledge across a wide spectrum.
• Demonstrate thorough knowledge of information technology concepts, issues, trends, and best practices as they relate to Cloud technologies and system integrations.
• Apply and share knowledge of security coding practices and secure system fundamentals.

Requirements

• Strong proficiency in JavaScript and TypeScript.
• Hands-on experience with React and Node.js.
• Experience using AI-assisted development tools such as ChatGPT, GitHub Copilot, Claude, Gemini, or similar.
• Excellent verbal and written communication skills.
• Experience with cloud platforms (AWS and/or GCP) - mandatory.
• Experience with RESTful APIs and microservices architecture.
• Proficiency with containerization technologies such as Docker.
• Familiarity with Kubernetes.
• Familiarity with relational databases.
• Experience with CI/CD practices and related tooling.

Nice to Have

• General proficiency in Java.
• Experience with Python.
• Experience building near-real-time data processing solutions using Kafka.

We Offer

• Paid Vacation
• Sick Days
• Floating Holidays
• Sport/Insurance Compensation
• English Classes
• Charity
• Training Compensation

About the Company

Our client is a leading U.S. fashion retailer, offering apparel, footwear, beauty, and home goods. It operates 350+ stores and robust online platforms, combining in-store and digital experiences.