Staff Engineer-Back-End

Architecture & Systems Design

• 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.

Delivery & Execution

• 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.

Collaboration & Influence

• 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.

Mentorship & Growth

• 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.

• 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.