# Staff Software Engineer, AI Platform & Enablement at Zendesk

Zendesk is hiring a Staff Software Engineer, AI Platform & Enablement in Mexico City, Mexico. Level rates it Little AI ●○○○; you can [apply on Zendesk](https://jobsbylevel.com/go/16a94d83-eab8-445b-8541-07604bc0fc36?utm_medium=ai-agent).

AI Level 1, AI centrality 33 out of 100. Mexico City, Mexico.

## Details

- Company: [Zendesk](https://jobsbylevel.com/companies/zendesk)
- AI level: AI Level 1 (score 33 out of 100)
- Location: Mexico City, Mexico
- Posted: October 20, 2026
- Apply: https://jobsbylevel.com/go/16a94d83-eab8-445b-8541-07604bc0fc36?utm_medium=ai-agent

## Description

Job Description Zendesk is building App Foundry and related internal platforms so employees can turn AI ideas into useful, governed capabilities. Our Co-Build model puts the team closest to a business problem in the builder's seat. The platform team provides the services, reusable patterns, technical guidance, and release controls that help those teams build well and operate what they create. We are looking for software engineers in Mexico City who can both build production systems and raise the quality of work built by others. You will be a hands-on individual contributor in the local platform pod, reporting to the Platform Team Director and partnering with India-based platform, product, security, identity, and enterprise AI teams. This is an engineering role; it does not include people management. What you'll do Design, build, and operate backend services, APIs, data stores, and cloud infrastructure that support App Foundry and the broader employee AI platform on GCP. Create reusable integration and deployment patterns for product teams and business builders, including authenticated APIs, connectors and MCP-backed capabilities where appropriate. Help teams move from prototypes to supportable production systems. Review architecture, data choices, access boundaries, dependencies, and operational readiness; explain the tradeoffs and guide teams toward durable designs. Build the shared path for submitting, reviewing, versioning, releasing, and maintaining reusable AI assets such as skills, plugins, and connected capabilities. Make ownership, approvals, changes, and deployed state visible and auditable. Partner with product and value stream teams on targeted AI use cases. Provide technical advice and co-build support while the delivery team owns the build and the business owner owns the outcome. Support function-built productivity assets with platform tooling, templates, documentation, and technical review. Work with product reviewers and workspace administrators on controlled publishing and access verification. Own CI/CD, infrastructure as code, automated validation, and release practices. Improve observability, alerting, runbooks, incident response, and durable fixes for the services you own. Work with Security, Identity, Enterprise Architecture, and data teams on least-privilege access, secrets, approved data paths, audit logging, and production readiness. Make the safe path easy to use: write clear guidance, create examples and paved roads, and help builders learn how to apply them. Give constructive code and design reviews and share what the team learns from pilots and incidents. Keep work visible through clear ownership, written updates, documented decisions, and timely escalation across Pune and US time zones. What you bring Bachelor's degree in Computer Science, Information Systems, or equivalent practical experience. 5+ years building and operating backend services or platform software in enterprise or SaaS environments. Strong programming skills in at least one of Python, Go, or TypeScript/Node, with experience designing APIs, data models, and reliable integrations. Hands-on cloud experience, preferably GCP (such as GKE, Cloud Run, Cloud SQL, IAM, and logging), or comparable AWS or Azure experience. Experience with infrastructure as code, modern CI/CD, automated testing, and production operations. Experience securing APIs and services with authentication, authorization, secrets management, and appropriate logging. Sound architectural judgment: you can recognize brittle shortcuts, propose a maintainable path, and help another team implement it without taking ownership of every build. Ability to work with product and business partners to clarify a use case, identify its data and integration dependencies, and turn a prototype into a reviewed, supportable capability. Clear written communication, constructive technical review, and comfort collaborating across time zones and participating in a shared on-call rotation.

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/staff-software-engineer-ai-platform-enablement-at-zendesk-98d60c

Source: https://jobsbylevel.com/jobs/staff-software-engineer-ai-platform-enablement-at-zendesk-98d60c

## Cite this page

Level. https://jobsbylevel.com/jobs/staff-software-engineer-ai-platform-enablement-at-zendesk-98d60c.

Get job alerts: https://jobsbylevel.com/newsletter