Backend Developer - LATAM at OrderMesh

, , Chile -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

.NET, C#, Kafka, Redis, MongoDB, Temporal, Kubernetes, React, Microservices, Event-Driven Design, AI Development Tools, MCP Servers, Agentic Workflows, Distributed Systems, API-First Software, Software Engineering

Industry

technology;Information and Internet

Description

About us OrderMesh is the operating system for modern print-on-demand fulfillment. We build intelligent order orchestration software that sits at the center of a complex global supply chain — connecting brands, marketplaces, and producers through a single platform. We replace the fragmented legacy systems that the industry has outgrown, with modern, API-first software built for today's scale and speed. OrderMesh is part of Taylor Corporation, a multi-billion-dollar global leader in print, manufacturing, and technology-enabled services — operating one of the largest production footprints in the world, serving enterprise customers across retail, ecommerce, and beyond. The best of both worlds — and we mean it. Most companies say "startup energy with enterprise backing." Few actually deliver it. At OrderMesh, the combination is real: Startup ownership: Small, high-trust teams. Real autonomy over architecture. A direct line between what you build and how it performs in production. Enterprise foundation: Long-term financial stability, SOC 2 compliance, access to global-scale production environments, and deep domain expertise in manufacturing, logistics, and supply chains. Why now? We're at an inflection point. The platform already runs real, live production volume — and we're expanding its capabilities, building out new infrastructure, and actively shaping how an entire industry operates. The decisions you make here — technical, architectural, product-driven — will have lasting impact. This isn't a role where you maintain someone else's roadmap. You'll be building serious software, solving meaningful real-world problems, and doing it with the backing of a world-class organization. If that's the kind of work you're looking for, OrderMesh is a rare opportunity. About the Role We're looking for a Software Engineer to join our team and help build and scale distributed systems across our platform. You'll work closely with product teams from concept through to production, contributing to architecture decisions and shipping features that matter. We expect you to be leveraging AI development tools as part of how you work every day. What You'll Do Design, build, and maintain services using .NET in a microservice architecture Work with event-driven systems using Kafka and Temporal for workflow orchestration Build and optimize data layers using MongoDB and Redis Deploy services in Kubernetes (k8s) environments Collaborate directly with product teams from early concept through to production release Develop frontend using React when needed Use AI development tools like Claude Code as part of your daily development workflow Work with MCP servers and agentic development workflows Participate in code reviews, architectural discussions, and continuous improvement of our platform 3+ years of professional software engineering experience Strong experience with .NET/C# Solid working knowledge of Kafka, Redis, MongoDB, and Temporal Experience building and operating microservices deployed on Kubernetes Hands-on experience with event-driven design patterns Strong working knowledge of React Experience using AI coding tools such as Claude Code or OpenAI Codex Experience with MCP servers and agentic development workflows Proven track record of working embedded with product teams, taking features from concept to production Strong communication skills and a collaborative mindset Nice to Have Experience in ecommerce or supply chain domains Familiarity with CI/CD pipelines, infrastructure-as-code, and DevOps practices

Responsibilities

Design, build, and maintain microservices using .NET and event-driven systems like Kafka and Temporal. Collaborate with product teams to take features from concept to production while leveraging AI development tools.