8-10+ years of professional software engineering experience
Strong recent Node.js backend development
Strong TypeScript development experience
Experience designing large-scale distributed systems
Meaningful recent Microsoft Azure experience
Strong REST API development experience
Experience with microservices/service-oriented architectures
Strong Docker and Kubernetes experience
Responsibilities
Design, develop, test, and maintain scalable backend services using Node.js and TypeScript
Build large-scale distributed systems supporting enterprise platforms
Develop highly available, resilient, and fault-tolerant cloud-native services
Design APIs capable of handling significant transaction volumes
Make technical decisions involving performance, scalability, and reliability
Deploy containerized applications using Docker and Kubernetes
Troubleshoot complex production issues across services and infrastructure
Mentor engineers and promote strong engineering practices
Benefits
Collaborative team environment
Opportunities for mentorship and professional growth
Hands-on involvement in impactful projects
Engagement with cutting-edge technologies
Flexible work arrangements
Full Job Description
Role Overview
We are seeking a Lead Backend Engineer to design, build, and scale large-scale distributed systems supporting enterprise fulfillment platforms. This is a highly hands-on engineering role focused on Node.js, TypeScript, Azure, microservices, and distributed systems.
The ideal candidate will have recent production experience building and operating resilient cloud-native backend systems and be comfortable with scalability, reliability, messaging, observability, failure handling, and production support.
Must-Have Qualifications
8-10+ years of professional software engineering experience
Strong, recent Node.js backend development
Strong TypeScript development experience
Experience designing and developing large-scale distributed systems
Meaningful, recent Microsoft Azure experience
Strong REST API development experience
Experience with microservices/service-oriented architectures
Experience with asynchronous and event-driven architectures
Strong understanding of distributed-system concepts:
Scalability
High availability
Fault tolerance
Idempotency
Retry strategies
Eventual consistency
Service-to-service communication
Failure recovery
Strong Docker and Kubernetes experience
Experience writing clean, maintainable, well-tested production code
Production application troubleshooting and support experience
Strong understanding of reliability, resilience, and observability
Ability to make engineering decisions within established architecture
Strong communication and collaboration skills
Preferred Qualifications
Azure Kubernetes Service (AKS)
Azure Service Bus
Azure Functions
Cosmos DB
Helm
GitHub Actions
OpenTelemetry
Dynatrace
CI/CD pipeline development
Distributed tracing and application performance monitoring
High-volume or high-transaction enterprise platforms
Fulfillment, order processing, logistics, commerce, or similar domains
Java experience
Infrastructure-as-Code
API security
Performance engineering
Production incident management
Site Reliability Engineering concepts
Automated integration and contract testing
Core Technologies
Node.js | TypeScript | Microsoft Azure | AKS | Azure Service Bus | Azure Functions | Cosmos DB | REST APIs | Docker | Kubernetes | Helm | GitHub Actions | OpenTelemetry | Dynatrace
Key Responsibilities
Design, develop, test, and maintain scalable backend services using Node.js and TypeScript.
Build large-scale distributed systems supporting enterprise platforms.
Develop highly available, resilient, and fault-tolerant cloud-native services.
Design APIs capable of handling significant transaction volumes.
Make technical decisions involving performance, scalability, reliability, maintainability, and delivery speed.
Build asynchronous and event-driven integrations.
Deploy containerized applications using Docker, Kubernetes, and AKS.
Develop CI/CD processes using GitHub Actions and Helm.
Implement logging, metrics, tracing, and monitoring for production systems.
Troubleshoot complex production issues across services and infrastructure.
Develop automated unit, integration, and service-level tests.
Participate in code and technical design reviews.
Identify and address technical debt.
Mentor engineers and promote strong engineering practices.
Collaborate with architects, product managers, and engineering teams.
Take operational ownership of applications after deployment.
Success Profile
The successful candidate will think beyond individual services and understand how backend components behave within a larger distributed ecosystem. They will build systems that are scalable, observable, reliable, resilient, and production-ready, while remaining actively hands-on with software engineering.
