Platform Engineer (Sre) - Latam

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
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
Requirements
Experienced in eCommerce, SaaS, or high-transaction environments, comfortable navigating ambiguity in startup or growth-phase companies
Strong scripting skills (Bash, Python, Go, PowerShell) with proficiency in cloud platforms (Azure preferred, AWS or GCP also valuable)
Hands-on experience building and deploying applications in C#, Node.js, or TypeScript with solid knowledge of RESTful APIs and backend system design
Proven ability to build production-grade workflow automations (n8n strongly preferred), including webhooks, API integrations, and automated flow maintenance
Familiar with QA automation concepts (test pyramids, flaky test reduction, CI signal quality) and experienced collaborating with QA/SDET teams
Working knowledge of MCP or similar AI-to-tooling integration patterns in secure, controlled environments
Excellent communicator, able to translate complex technical topics for non-technical audiences, and able to manage multiple priorities independently across departments
Flexible availability to work between 5:00 AM – 9:00 PM local time as needed
Bonus Points
Hands-on experience with Terraform and Kubernetes (k8s)
Experience implementing monitoring and observability systems (Grafana preferred)
Strong familiarity with DevOps culture, SRE principles, and incident management workflows
Experience supporting cross-functional teams and collaborating on process documentation
Previous leadership experience or mentorship of other engineers (strong plus)
Experience in B2B tech or platforms that support product catalogs, inventory, or transactional workflows