





Tier-1 brand, remote role, generalist fullstack title, and broad tech requirements elevate competition.
Core fullstack and cloud skills are broadly transferable, though supply-chain and ERP exposure favors domain-experienced candidates.
High due to explicit 10+ years requirement plus mandatory cloud, languages, and DevOps responsibilities.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and development of scalable, resilient cloud-native applications and APIs primarily using React, Node.js, and microservices.
Provide technical leadership, architectural guidance, and mentorship to engineering teams to ensure delivery excellence in supply chain and corporate function systems.
Collaborate with product managers, engineers, and business teams to translate business needs into reliable software solutions that enhance supply chain, planning, and corporate technology capabilities.
Bachelor’s degree in Computer Science, Engineering, or a related field.
10+ years of professional software engineering experience building and operating production systems.
Proficiency in microservices architecture, domain driven design, RESTful API development using Node.js and Python; experience with cloud services (AWS EC2, ECS, Lambda, API Gateway) and container orchestration (Docker/Kubernetes).
Experience implementing CI/CD pipelines and leading teams with DevOps responsibilities; familiarity with secure coding, identity/access management, and integration with ERP platforms.
Experienced full stack engineer with proven delivery excellence in collaborative, multidisciplinary teams supporting supply chain and corporate domains such as inventory and order management.
Able to operate at a strategic technology leadership level providing architectural guidance while remaining hands-on with complex distributed systems.
Comfortable working in agile environments, partnering cross-functionally, with strong problem-solving capabilities and a mindset oriented toward evolving technologies including AI-driven solutions for productivity and system optimization.