Nodejs Backend Engineer

5-12 Years

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Early Applicant

Job Description

Critical Skills To Possess

510+ years backend engineering experience; strong hands-on Node.js.
Proven experience building microservices and API-first backend platforms.
Strong understanding of:
async programming, event loops, streams
API security (JWT, OAuth2/OIDC), OWASP basics
distributed system patterns (idempotency, retries, eventual consistency)
Experience with Azure cloud platform. Azure services experience: APIM, Functions, Service Bus, Key Vault, Blob Storage, Cosmos/Mongo DB, Application Insights

and containerization (Docker, Kubernetes/AKS).

Solid engineering practices: unit/integration testing, code reviews, CI/CD, clean architecture.

Good-to-Have

Loyalty / rewards domain experience (points, tiers, redemption rules, fraud/abuse controls).
Experience with CIAM platforms (SAP CDC/Gigya) including consents and privacy workflows.
Experience with performance tuning at scale (high traffic, peak loads, caching strategies like Redis).
Experience with PCI/PII controls, GDPR-style consent handling, and secure data design.

Preferred Qualifications

Roles & Responsibilities

Build and maintain Node.js microservices for loyalty journeys (earn/burn, wallet, coupons, tiers, referrals, etc.).
Design and implement REST APIs (and event-driven flows) with clear contracts, versioning, and backward compatibility.
Own backend non-functional requirements: performance, security, scalability, reliability, and cost awareness.
Implement authentication/authorization and secure customer flows (e.g., OAuth2/OIDC, token validation, role/claim-based access).
Integrate with external systems such as:
CIAM (e.g., SAP CDC/Gigya) for identity/profile/consents
Commerce/CRM/ERP, payment/reward partners, notification providers, analytics
Build asynchronous workflows using messaging/queues (e.g., Azure Service Bus / Solace-like patterns), retry, idempotency, and DLQ handling.
Work with data stores (e.g., Cosmos DB / MongoDB / SQL) and implement efficient queries, indexing, caching, and data lifecycle practices.
Implement observability: logging, metrics, tracing, dashboards, alerting; participate in incident triage and postmortems.
Collaborate closely with product, mobile/web, QA, DevOps, security, and architecture; contribute to refinement and estimation.