Team Summary
Staples Print is the online print and marketing solutions division of Staples. Our print technology systems team goes beyond traditional IT. We are a team of passionate, collaborative, agile, and customer-obsessed problem solvers who believe great print experiences start with great software. We are driven by a commitment to making it easy for businesses and individuals to bring their ideas to life from business cards and banners to custom marketing materials and beyond.
We are intellectually curious, embrace emerging technologies, and constantly seek ways to modernize and scale our platform. We anticipate the evolving needs of our customers and business partners and deliver reliable, high-performance technology solutions that power millions of print orders. We move fast, think big, and take pride in building experiences that are seamless, personalized, and delightful for every customer.
Role Summary
As a Lead Engineer - Full Stack (.NET / React), you will play a pivotal role in designing, building, and evolving Staples Print's eCommerce platform. You will architect and develop scalable full-stack solutions using .NET (C#), ASP.NET Core, React with TypeScript, and cloud-native services on Azure. Part of this role involves integrating AI-backed APIs and LLM services into application workflows connecting to existing AI/ML services rather than building or owning AI models. You will mentor junior engineers, lead design and code reviews, participate in sprint planning, and collaborate across engineering, product, UX, and data teams. Success requires deep full-stack technical expertise, the ability to make sound architectural decisions, and a pragmatic approach to embedding AI-powered capabilities into production applications.
Duties & Responsibilities
-Design, architect, and develop scalable full-stack applications using .NET / ASP.NET Core (C#) on the backend and React / TypeScript on the frontend.
-Define and enforce system architecture patterns for distributed, microservices-based, and event-driven systems emphasizing resilience, scalability, and maintainability.
-Develop and optimize RESTful APIs, microservices, and integrations with messaging platforms (Azure Service Bus, Kafka, or Solace).
-Integrate AI-backed APIs and LLM services into platform features such as personalization, intelligent search, and AI-assisted order workflows by connecting to established AI services and embedding their outputs into application logic.
-Design secure, scalable integration patterns for consuming AI/ML APIs and services (e.g., Azure OpenAI, OpenAI API, Azure Cognitive Services) within the application stack.
-Apply practical prompt engineering techniques, manage context windows effectively, and implement output validation to ensure LLM API responses are safe, relevant, and usable within the application.
-Collaborate with data and analytics teams to consume ML model outputs via APIs and embed predictions into application logic (e.g., personalization, recommendations) no ML model building required.
-Champion responsible AI practices including bias awareness, content moderation, rate limiting, cost controls, and auditability of AI-generated outputs.
-Use AI-assisted development tools (GitHub Copilot, Azure AI) to accelerate delivery and promote their adoption across the engineering team.
-Work with data and platform teams to understand how AI services are deployed and monitored, ensuring application-side integrations handle model updates, versioning, and service changes gracefully.
-Lead design reviews, code reviews, and technical spike initiatives; champion best practices in code quality, security, and performance optimization.
-Mentor junior and mid-level engineers through pair programming, design discussions, and constructive code feedback.
-Collaborate with product managers, UX designers, data teams, and platform engineers to translate business requirements into robust technical solutions.
-Drive CI/CD practices, automated testing strategies, and release readiness across the team.
-Monitor production systems, diagnose complex performance and reliability issues, and lead root-cause analysis and resolution.
-Contribute to technical documentation, architecture decision records (ADRs), and runbooks.
-Participate in sprint ceremonies, backlog grooming, and capacity planning.
Requirements
Years of Experience
Minimum of 4 years of experience in an eCommerce and engineering lead role.
Minimum of 4 years of experience working with high-traffic, large-scale distributed systems and cloud platforms.
Basic Qualifications
-Bachelor’s degree in computer science, Information Systems, or a related field, or equivalent experience.
-6+ years of full-stack development experience with strong emphasis on .NET / ASP.NET Core (C#) and React / TypeScript.
-3+ years of experience designing and building distributed, microservices-based, or event-driven systems.
-Hands-on experience with cloud platforms Azure strongly preferred (App Services, Service Bus, Key Vault, AKS).
-Strong command of SQL (MS SQL Server) and experience with at least one NoSQL technology (Cosmos DB, Elasticsearch, Redis).
-Experience with RESTful API design and implementation; familiarity with gRPC or messaging protocols is a plus.
-Proficiency with HTML5, CSS3, Bootstrap, and modern frontend tooling.
-Experience integrating AI/ML capabilities via APIs into application code such as calling LLM endpoints, inference services, or recommendation APIs whether in production or substantial project contexts.
-Familiarity with Azure OpenAI Service, OpenAI API, or equivalent Generative AI platforms.
-Awareness of AI integration patterns such as retrieval-augmented generation (RAG), embeddings, and semantic search conceptual understanding is sufficient; practical experience is a strong plus.
-Awareness of responsible AI principles: rate limiting, cost governance, output validation, and auditability.
-Experience with the full SDLC including independent requirement analysis, design, testing, deployment, and documentation.
-Strong proficiency with Git, branching strategies, and code review practices.
-Experience with unit and integration testing frameworks (xUnit, NUnit, React Testing Library, or Jest).
-Familiarity with CI/CD pipelines (Azure DevOps, GitHub Actions, or equivalent).
-Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
-Master’s degree in computer science or a related field.
-Hands-on experience with Azure Kubernetes Service (AKS) and containerization (Docker).
-Experience with Elasticsearch for search and analytics.
-General awareness of how AI services are versioned and monitored in production, enough to handle API changes and communicate effectively with data or platform teams.
-Experience applying AI to print or eCommerce use cases: design assistance, product recommendations, or intelligent search.
-Experience in retail, eCommerce, or print domains.
-Familiarity with domain-driven design (DDD), CQRS, or event sourcing patterns.
-Understanding of observability tools Application Insights, Azure Monitor, Splunk, or OpenTelemetry.
-Experience with secure application development practices (OWASP Top 10, secrets management or similar).
-Familiarity with feature flagging and A/B testing frameworks.
-Experience with Azure services, Kubernetes/AKS, and CI/CD pipelines
-Hands-on experience with Generative AI tools/APIs (e.g., OpenAI, Copilot)
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