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Backend Developer Level III

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Hudson Manpower
Full Time position
Listed on 2026-08-27
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 170000 - 230000 USD Yearly USD 170000.00 230000.00 YEAR
Job Description & How to Apply Below

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, Type Script, 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 Type Script 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
  • Git Hub Actions
  • Open Telemetry
  • 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 | Type Script | Microsoft Azure | AKS | Azure Service Bus | Azure Functions | Cosmos DB | REST APIs | Docker | Kubernetes | Helm | Git Hub Actions | Open Telemetry | Dynatrace

Key Responsibilities
  • Design, develop, test, and maintain scalable backend services using Node.js and Type Script.
  • 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 Git Hub 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.

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