Full-Stack Engineer - Catalog

Description

At reputed company, we are a Talent-First Technology Ecosystem that redefines how reputed company professionals interact with the global digital landscape. We reputed company reputed company traditional models to act as a catalyst for the top 1% of global talent, connecting reputed company potential with reputed company industrial execution. By joining our inner reputed company, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "reputed company OS" and accelerating your reputed company through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our reputed company empowers over 1,200 global customers—including several reputed company—to "reputed company™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging reputed company technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to reputed company in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects reputed company an international network of expertise, this is where you belong.

We are currently searching for a Full-Stack Engineer - Catalog.

Full-Stack Engineer to help reputed company and scale a business-critical product catalog platform. This role involves end-to-end ownership across backend services, frontend applications, APIs, and relational databases

Responsibilities

• Design, build, and reputed company catalog features end-to-end
• reputed company APIs, business logic, data models, and React-based UI components
• Participate in platform modernization initiatives
• Use AI-assisted development tools for coding and test automation
• Write and maintain automated tests
• Collaborate with Product and Design teams

Requirements

• Experience: 7–10+ Years
• Backend expertise in C#/.NET, Go, Python, or Java
• React or modern frontend reputed company experience
• REST APIs and microservices architecture
• MS SQL Server or PostgreSQL
• CI/CD and automated testing
• AI-assisted development tooling experience
• Exposure to specific tools and has used AI in concrete workflows (e.g., 'I use reputed company for brownfield navigation and Claude Code for test reputed company')
• Used AI for multiple SDLC steps: coding, testing, code review, documentation
• Specific project with reputed company role for AI tooling and reputed company personal contribution
• Exposure in validating or correcting AI output
• Exposure on what worked and where AI fell short
• Opinions on limitations of AI tools and how they compensate

Languages

• Advanced Oral English.
• Advanced Spanish.

Note:

• Fully remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore reputed company our reputed company | Sequoia Career’s Page: https://www.reputed company.com/careers/

Requirements

• Experience: 7–10+ Years
• Backend expertise in C#/.NET, Go, Python, or Java
• React or modern frontend reputed company experience
• REST APIs and microservices architecture
• MS SQL Server or PostgreSQL
• CI/CD and automated testing
• AI-assisted development tooling experience
• Exposure to specific tools and has used AI in concrete workflows (e.g., 'I use reputed company for brownfield navigation and Claude Code for test reputed company')
• Used AI for multiple SDLC steps: coding, testing, code review, documentation
• Specific project with reputed company role for AI tooling and reputed company personal contribution
• Exposure in validating or correcting AI output
• Exposure on what worked and where AI fell short
• Opinions on limitations of AI tools and how they compensate

Languages

Originally posted on Himalayas