Senior NodeJs Developer

2 days ago

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Yomali

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Yomali is a global group of technology companies, developing software products & services designed to help great companies sell more online. With over 21 years of experience, Yomali has propelled some of the biggest online brands to new heights in profitability and customer satisfaction. As a fully distributed company, Yomali values a culture of positivity and innovation, employing 520 professionals across 16 countries. Their focus is on using technology to solve client problems and foster sustainable business growth.

51 - 200 employees

Founded 2003

🤝 B2B

🛍️ eCommerce

☁️ SaaS

📋 Description

• We are looking for a Node.js developer to create scalable back-end microservices in the cloud. • You will optimize APIs for seamless service interaction and ensure high-performance integration with front-end applications. • Key responsibilities include maintaining reusable code libraries, optimizing server-side code, and developing scalable APIs while contributing to AI-driven product features. • Design and develop efficient, scalable back-end microservices in Node.js that run in the cloud and interact with a range of APIs and third-party services. • Collaborate with data science teams to integrate machine learning models, including large language models (LLMs), into the platform, ensuring seamless interaction between services. • Build and maintain reusable code libraries and components that ensure fast, efficient integration with AI-powered APIs and services. • Partner with front-end developers to ensure smooth interaction between back-end logic and user-facing applications, focusing on performance optimization and high availability. • Regularly inspect, optimize, and refactor server-side code to ensure minimal latency and maximum throughput, especially when interacting with high-complexity AI models. • Architect and implement solutions for large-scale data storage and processing, utilizing NoSQL databases such as Cassandra and in-memory data stores like Redis or Memcached. • Ensure the usability, security, and performance of all front-end interactions with back-end services. • Engage in brainstorming and strategy sessions to help shape product features, improvements, and optimizations for AI-driven functionalities. • Continuously improve the team's development processes by contributing to unit tests, automation scripts, and conducting thorough code reviews. • Work on the development of an API-first platform, ensuring that all services and features are accessible through well-documented, scalable APIs. • Develop and maintain SDKs and API clients for the product, enabling seamless integration for external developers and partners. • Ensure the APIs are designed for scalability, security, and ease of use, providing a first-class developer experience. • Work autonomously, embrace new technologies, and tackle challenges related to AI integration and handling services at scale.

🎯 Requirements

• Minimum 3 years of experience with Node.js, including developing back-end microservices at scale. • At least 2 years of experience working with APIs, specifically integrating AI services or interacting with large language models (e.g., GPT, BERT). • At least 2 years of experience with NoSQL databases like Cassandra, as well as search technologies like ElasticSearch and caching solutions like Redis or Memcached. • Minimum 1 year of experience with languages like Python, Perl, or shell scripting, especially in automation or AI-related tasks. • Experience with full-stack development and collaborating across distributed teams. • Prior experience with agile software development methodologies and full lifecycle software development. • Bachelor’s degree in Computer Science, MIS, or a related discipline, or equivalent hands-on experience. • Strong track record of completing projects on time and delivering high-quality solutions. • Experience deploying machine learning models to production, with a deep understanding of the challenges of scaling AI systems. • Familiarity with PHP or similar technologies. • Hands-on experience with MLOps tools and frameworks, or AI model serving platforms (e.g., TensorFlow Serving, PyTorch Serve).

🏖️ Benefits

• 24 days of annual leave • Health insurance