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NCube Ltd.Backend Engineer
format:Remotecompany:Outstaff
pythonfastapinode.jstypescriptrest-apioauthwebhookspostgresqlaws lambdaaws sqsapi gateway
salesforceshopify
> full description3+ years of production experience with Python (FastAPI) and/or Node.js/TypeScript. Strong understanding of REST API design, third-party integration patterns, OAuth, and webhooks. Hands-on experience with PostgreSQL, including schema design and query optimization. Working knowledge of a serverless-first AWS stack (Lambda, SQS, SES, API Gateway). Fluent English and comfort working within a fast-paced, US-based startup team under technical leadership. Experience with major CRM platform APIs, such as Salesforce. Experience with marketplace seller APIs, such as Amazon SP-API. Experience building within e-commerce app ecosystems, such as Shopify. Design and build REST APIs and backend services that power the platform’s integration and infrastructure layers. Implement OAuth and webhook-based integrations connecting the platform to third-party commerce and CRM systems. Work with major CRM platforms, marketplace seller APIs, and e-commerce app ecosystems. Own schema design and query performance for PostgreSQL-backed services as the platform scales. Build and operate serverless AWS components (Lambda, SQS, SES, API Gateway) to keep integrations resilient and fast. Work as a full member of the engineering team, participating in standups, code reviews, and shared technical responsibilities. Maintain at least 4 hours per day of overlap with US Pacific working hours to collaborate with the team in real time. Competitive salary. Vacation (up to 20 working days). Sick leave (10 working days). National Holidays as time off. Flexible working schedule and remote format. Online English courses. Direct cooperation with the customer. Teambuildings, corporate parties and company trips abroad. Great working environment and team spirit.
Відгукнутись на вакансію
We are looking for a Backend Engineer to join the Technical team of our San Francisco-based client — an AI fashion-tech company building photorealistic virtual try-on, AI sizing prediction, and personalized outfit recommendation technologies for fashion and retail brands.
Project — an integration and infrastructure layer that connects AI-powered fashion solutions with the systems used by brand partners, including CRM, marketplace, and e-commerce platforms. The project focuses on building reliable APIs and backend services that enable fashion and retail brands to adopt AI-powered try-on and recommendation experiences at scale.