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.

We are seeking a Software Engineer 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.

A day in the life…

• Contributes to projects involving multiple teams.

• Participates in design discussions, follows engineering best practices, and conducts code reviews for peers.

• Resolves complex engineering problems, collaborating with others.

• Facilitates cross-functional troubleshooting, root cause analysis, and engages 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.

• Demonstrates 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.

• 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.