Sr Software Engineer I

at  STAPLES INC

EXPERIENCE

• 7+ years of experience in architecting and developing scalable applications as a Full-Stack Engineer, particularly in the eCommerce sector.
• 7+ years of hands-on programming experience in modern languages such as Java, Spring Boot, and NodeJS.
• 5+ years of proficiency in building applications using ReactJS/React Native with TypeScript.
• Extensive experience (7+ years) designing microservices architectures within cloud-native environments.

TECHNICAL SKILLS:

• Mastery of technologies including Java, Spring Boot, ReactJS, NextJS, and NodeJS.
• Strong background in cloud technologies, particularly within the context of microservices architecture.
• Experience with both NoSQL databases (Couchbase) and relational databases (MySQL).
• Familiarity with messaging systems like Solace or Apache Kafka for event-driven architectures.
• Deep understanding of implementing Headless Commerce solutions.
• Proven track record in optimizing performance metrics such as Core Web Vitals for eCommerce applications.
• Experience implementing ADA compliance standards within web applications.

WHAT’S NEEDED- PREFERRED QUALIFICATIONS

• Proven experience taking an idea from inception to life with an ability to explore a variety of opensource technologies.
• Experience with developing, deploying, and launching software products on public cloud preferably Microsoft Azure.

We are seeking a Senior Full Stack Developer/Architect with extensive expertise in eCommerce architecture frameworks, particularly Microservices and Micro-frontend Architecture. You will lead the design and implementation of scalable, high-performance solutions for our cloud-hosted eCommerce platforms. This role requires collaboration with product managers, business leaders, and cross-functional teams to modernize systems and deliver exceptional business capabilities.
As part of the eCommerce team, you will work with both business and technology teams to design and develop in-house data-driven solutions for complex decision-making problems using computer science, analytics, mathematical optimization, and machine learning. You will also work closely with product and program management to derive application requirements, set expectations, and communicate progress.