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Backend Developer Level III

Summary

Designs, builds, and scales distributed backend systems for enterprise fulfillment platforms using TypeScript, Azure, microservices, and Kubernetes, focusing on scalability, reliability, and production support.

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 , 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 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

| 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 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.

See also

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