You will be working for a US-based technology company with the leading Software, Web and mobile app development for business in North America helping independent retailers adopt and embrace this new key component of their digital marketing solution. We build and maintain thousands of retailer websites that must run reliably, efficiently, and effectively. We’re looking for a Senior Engineer with a strong background in data engineering to help us scale and optimize the infrastructure that powers our e-commerce data pipelines, services, and analytics. You’ll play a key role in building high-performance, event-driven systems and data platforms using Node.js, Google Cloud Platform (GCP), and Kubernetes As part of our data engineering team, you’ll work closely with product, analytics, and frontend teams to deliver reliable, scalable, and real-time data solutions that directly impact customer experience, inventory systems, personalization, and business insights The Responsibilities Design and implement robust, scalable backend services in Node.js, Python, and other technologies to process and deliver real-time and batch data for analytics, personalization, and search Integrate new data sources and improve existing ones using many different methods Architect and manage cloud-native data infrastructure on GCP (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage) Work primarily in Node JS for data extraction and transformation Build and optimize data orchestration and deployment pipelines using Kubernetes and modern CI/CD tooling Partner with frontend teams to expose data via internal dashboards, admin tools, and customer-facing components Ensure data reliability, availability, and security across all services and systems Collaborate with data scientists, analysts, and other engineers to build tools that unlock business insights from large-scale data Help define data governance, quality, and observability standards FinOps exposure/execution - you will have a lead role on a small team in cost auditing existing cloud infrastructure in GCP and proposing and collaborating on engineering changes needed cost to optimize cloud spends Mentor other engineers and contribute to a culture of technical excellence and continuous learning 5+ years of experience in backend or platform engineering, with a focus on data-intensive systems Strong experience with Node.js and modern JavaScript/TypeScript development Deep hands-on experience with Google Cloud Platform, including BigQuery, Pub/Sub, Cloud Functions, and GKE Proficient in Kubernetes for deploying and scaling data services Working knowledge of React for integrating backend systems with internal tools or dashboards Solid understanding of data modeling, pipelines, and streaming architectures Experience building and maintaining CI/CD pipelines for data applications Strong experience working with Google Cloud Platform (GCP) – BigQuery, Dataflow, Pub/Sub, Cloud Storage, Kubernetes Experience with FinOps best practices and auditing procedures Strong understanding of deduplication to optimize data storage and reduce cloud costs Strong English communication skills PLEASE SUBMIT YOUR RESUMES IN ENGLISH