Senior Automation Engineer

Jobgether; México; A distancia; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Trabajo desde casa

Bonificación de Navidad 30 días

Seguro médico mayor

Seguro de vida

Formación y certificaciones

Descripción de la vacante

Jobgether busca un Ingeniero de Automatización Senior en México para diseñar, desarrollar y desplegar soluciones de automatización con Python y agentes basados en IA. Trabajarás con frameworks de orquestación, APIs y bases de datos en un entorno de nube y colaborarás con equipos multidisciplinarios.

El rol implica diseño de soluciones, pruebas, despliegue y soporte operativo, con foco en entregar soluciones escalables en entornos empresariales.

Formación

• 5+ años de experiencia en ingeniería de software Python, con servicios en producción, APIs y pipelines de datos.

Responsabilidades

• Desarrollar, probar y desplegar automaciones en Python y flujos de trabajo basados en agentes para procesos simples a medianos.

Conocimientos

Python

APIs

Data pipelines

LLM agents

Agentic AI

CI/CD

GCP

Agile/Scrum

Stakeholder management

UiPath

AWS

Azure

Process mining

Low-code

Conversational AI

Educación

Advanced RPA Developer certification

Herramientas

Docker

Kubernetes

GKE

Google App Engine

Descripción del empleo

Senior Automation Engineer

Empresa : Jobgether Tipo de empleo : Tiempo completo Mexico JobCopilot will tailor your resume and auto-fill the application

Descripción del trabajo - Senior Automation Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Automation Engineer based in Mexico.

This role offers the opportunity to build production-grade automation solutions at the intersection of Python engineering, AI, and agentic automation. You will design and deploy intelligent workflows that solve real business problems across enterprise environments. The position combines hands-on software development with solution design, testing, deployment, and operational support. You’ll work with LLM-based agents, orchestration frameworks, APIs, databases, and cloud infrastructure to turn business processes into scalable automations. While GCP experience is valuable, strong Python engineering and agentic solution design are the primary focus. You’ll also contribute technical guidance, collaborate with multidisciplinary teams, and communicate solutions directly with stakeholders. It's an ideal environment for an experienced engineer who wants to help shape the next generation of intelligent enterprise automation.

Accountabilities

• Design, develop, test, and deploy Python-based automations and agentic workflows for simple-to-medium complexity business processes, taking solutions from requirements through production.
• Build and integrate LLM-based agents and orchestration or tooling frameworks, selecting an appropriate level of agentic capability for each business task.
• Deploy and operate automation solutions on Google Cloud Platform, integrating applications with APIs, databases, and enterprise systems as required.
• Develop automated unit and integration tests and integrate them into CI/CD pipelines to support reliable, repeatable deployments.
• Diagnose technical defects, troubleshoot production issues, optimize performance, and stabilize automations before transitioning them to support teams.
• Occasionally evaluate existing RPA or UiPath automations and convert suitable processes into Python-based agentic solutions.
• Provide technical guidance to junior and mid-level engineers, conduct peer code reviews, and promote coding standards, maintainability, and reusable solutions.
• Represent the technical solution in client meetings, clearly explaining architecture, trade-offs, risks, and implementation approaches to both technical and non-technical stakeholders.
• Collaborate with data engineers, DevOps professionals, product managers, business analysts, and subject-matter experts to prioritize and deliver automation initiatives.
• Stay current with developments in agentic AI and intelligent automation and contribute to improving delivery methodologies, technical practices, and service offerings.

Requirements

• 5+ years of hands-on Python software engineering experience, including production services, APIs, and data pipelines.
• Practical experience building or integrating agentic AI automations, such as LLM-based agents and orchestration frameworks, for business processes of simple-to-medium complexity.
• Strong analytical and solution-design abilities, with the capacity to translate business requirements into clean, efficient, and maintainable Python or agentic solutions.
• Experience with Python data and engineering libraries such as Pandas and NumPy, combined with strong testing and software development practices.
• Proficiency with containerization technologies such as Docker and Kubernetes and experience working with CI/CD pipelines.
• Hands-on exposure to Google Cloud Platform, including technologies such as Compute Engine, Cloud Run, Cloud Storage, or equivalent services; deep GCP expertise is not required.
• Experience deploying and managing Python applications and agentic solutions using Kubernetes, including GKE and Google App Engine.
• Strong experience working within Agile/Scrum enterprise environments alongside business analysts, developers, and business stakeholders.
• Excellent communication and stakeholder management skills, with the ability to explain technical challenges, solutions, and trade-offs clearly.
• Ability to work collaboratively while demonstrating ownership, problem-solving ability, and a continuous-learning mindset.
• Experience with UiPath, Automation Anywhere, Power Automate, or other RPA platforms is advantageous, particularly for occasional RPA-to-agentic conversions.
• Exposure to UiPath AI Center, Action Center, agentic AI solution design, or an Advanced RPA Developer certification is a plus.
• Consulting or client-facing delivery experience and familiarity with AWS or Azure are additional advantages.
• Interest in adjacent technologies such as process mining, low-code platforms, and conversational AI is valued.

Benefits

• 100% payroll with statutory benefits.
• Work-from-home arrangement.
• 30-day Christmas bonus.
• 16 vacation days.
• One additional economic/personal day per year.
• Grocery coupons.
• Savings fund.
• Home office stipend.
• Major medical insurance.
• Life insurance.
• Training and professional certifications.
• Tailored development plan with career coaching.
• Regular feedback and opportunities to contribute new ideas.
• International career and project opportunities.
• Structured training to deepen expertise in intelligent automation.
• Opportunity to work on complex automation challenges in an international and multicultural environment.
• Collaboration with diverse global teams across different projects.