Staff Engineer-Back-End

Inspire-posted 3 months ago
Full-time • Senior
Brookhaven, GA
5,001-10,000 employees
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We are seeking a Staff Engineer to join our Digital Engineering team and drive the technical direction of our global, multi-brand digital ecosystem. This role is focused on headless backend engineering, with deep expertise in e-commerce platforms, event-driven architectures, Azure cloud-native solutions, and generative AI integrations. As a Staff Engineer, you will shape how we design, scale, and operate domain-driven, event-based platforms built on Java (Spring Boot) and Node.js microservices. You will set the technical standard across Kubernetes (AKS), Istio, KEDA, multi-region deployments, and automation-first practices. Your leadership will ensure our services are secure, resilient, performant, and seamlessly integrated with external systems.

  • Architect and evolve Java and Node.js-based event-driven microservices on Azure Kubernetes Service (AKS), ensuring scalability, resiliency, and observability.
  • Apply domain-driven design (DDD) principles to model core domain capabilities with clean service boundaries.
  • Design and implement integration patterns (synchronous APIs, async messaging, event streams, pub/sub) across internal and external systems.
  • Abstract external system interfaces (POS, payments, loyalty, fulfillment, etc.) from our domain services to ensure maintainability and vendor flexibility.
  • Drive adoption of blue/green and canary deployment strategies for zero-downtime releases.
  • Architect multi-region deployments with active-active or active-passive failover for global resiliency.
  • Define and optimize edge caching strategies using Cloudflare (preferred) or other modern CDNs/reverse proxies.
  • Lead adoption of customer identity management solutions, leveraging Auth0 and/or Azure AD B2C with best practices for security and compliance.
  • Apply GenAI capabilities (LLMs, embeddings, prompt orchestration) to backend services, including customer personalization, search, knowledge retrieval, and operations automation.
  • Provide hands-on technical leadership for CI/CD automation using Azure DevOps or GitHub Actions.
  • Establish standards for integration automation testing across Java and Node.js microservices and APIs, with automated gates in pipelines.
  • Champion automation-first practices: infrastructure as code (Terraform/Bicep), automated testing, performance validation, and observability.
  • Decompose complex initiatives into actionable deliverables across geo-distributed agile teams.
  • Partner with architects, engineering managers, and product leaders to align on technical direction, roadmap, and release strategies.
  • Facilitate DDD workshops, design reviews, and integration architecture sessions across teams.
  • Influence technical decision-making across geo-distributed agile teams, ensuring both velocity and platform health.
  • Partner with product and data teams to identify GenAI use cases and integrate them into core digital services.
  • Mentor engineers in DDD, integration patterns, Kubernetes, Istio, KEDA, automation best practices, and microservice design in Java and Node.js.
  • Promote a culture of quality-first, automation-first engineering.
  • Enable teams to design resilient services that abstract vendor dependencies and scale globally.
  • 4 Year Degree and/or Bachelor's Degree in Computer Science or related fields.
  • 10 plus years in backend software engineering.
  • 3 plus years in a Staff/Principal/Lead Engineer role.
  • Proven track record delivering enterprise-scale e-commerce platforms with high availability and resiliency.
  • Strong, hands-on expertise in Java (Spring Boot) and Node.js microservices.
  • Deep expertise in Azure Cloud Services: AKS, Event Hubs, Service Bus, Cosmos DB, App Gateway, Front Door, and related services.
  • Hands-on production experience with Kubernetes (AKS) for container orchestration.
  • Istio for service mesh traffic management, observability, and mTLS.
  • KEDA for event-driven autoscaling.
  • Strong experience in Domain-driven design (DDD).
  • Integration patterns for APIs, messaging, and events.
  • Abstracting external system interfaces from core domain capabilities.
  • Proven expertise architecting and operating multi-region deployments with failover, disaster recovery, and global resiliency.
  • Applied experience with Generative AI services (Azure OpenAI, OpenAI APIs, or similar) — designing secure, scalable backend integrations with LLMs.
  • Strong background in blue/green and canary release strategies for cloud-native systems.
  • Experience with automation-first platforms, including CI/CD pipelines (Azure DevOps, GitHub Actions).
  • Integration automation testing.
  • Infrastructure as Code (Terraform/Bicep).
  • Experience working in agile environments with geo-distributed teams.
  • Deep knowledge of customer identity management, with preference for Auth0 or Azure AD B2C.
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