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 to optimize cloud spends
Mentor other engineers and contribute to a culture of technical excellence and continuous learning
Requirements
8+ 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
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