Platform Engineer (SRE) - LATAM

About usOrderMesh 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• Own and maintain cloud infrastructure (Azure), containerized environments (Docker/Kubernetes), and CI/CD pipelines • Write clean scripts (Python, Golang, Bash, PowerShell) and build automation that reduces manual toil across Engineering and Ops • Design and maintain n8n-based workflows connecting tools like GitHub, Jira, Slack, and Datadog with retries, alerting, and runbooks • Leverage AI integrations (MCP or equivalent) for incident summarization, ticket enrichment, and runbook-guided remediation • Partner with QA and Engineering to strengthen automated testing foundations, ephemeral environments, and CI/CD test visibility • Handle internal support tickets and translate technical solutions into clear, non-technical communication • Collaborate cross-functionally with Engineering, Ops, and QA teams to align on deployment workflows, platform improvements, and release processes • Participate in on-call rotations and incident response, ensuring availability and rapid resolution when systems require urgent attention