Ingeniero de Automatización (FDE)

About GBM

We are a wealth & asset management and private banking organization with 35 years of experience, innovative digital investment, and saving products. Our mission is to enable meaningful lives through smart finance solutions.

“We are reinventing how people create and grow their wealth, by changing the way people save, invest, and manage their investments.”

About the Team

Millions of Mexicans are looking for opportunities to invest, grow and put their money to work. It’s the foundation of their dreams and a way to plan for what matters most. Our mission is to make investments accessible to all Mexicans in a way they can feel supported, guided through every decision and trust their money is backed by experts.

Job Description

The Forward Deployed Engineers (FDE) team is a fast-moving automation and AI squad within the CyberSecurity Direction, focused on solving real business challenges through intelligent automation.

The team builds and maintains the Automation Platform, the core framework that orchestrates automation workflows across the organization.

Working side-by-side with Business Analysis team, FDEs design, deploy, and optimize automation solutions that drive measurable impact.

Operating under an agile and value-driven culture, the team acts as a bridge between technology, operations and business teams, ensuring that technological implementations translate directly into business outcomes.

In a typical week you will

Design and implement automation workflows using the Automation Platforms.

Collaborate directly with Analysis and Business team to identify automation opportunities.

Develop reusable “actions” or components that extend the Automation orchestration framework.

Integrate AI/ML modules for data extraction, document analysis, and intelligent decision-making.

Develop and connect APIs with internal and external systems.

Optimize and monitor AWS infrastructure for reliability and scalability.

Apply agile methodologies (Scrum, Kanban, Scrumban) to deliver incremental value.

Participate in cross-functional sessions to define requirements and validate results.

Monitor, debug, and enhance production workflows.

Contribute to the continuous improvement and roadmap

Requisites:

Experience: 3–5 years in software development, automation, cloud or devops; at least 2 years involved in RPA, AI/ML, or Intelligent Automation 

Previous environments: Experience in digital transformation or technology delivery teams, collaborating closely with busines owners and process analysts.

Previous roles: Software Engineer, Automation Developer, DevOps, AI Developer, or Cloud Engineer.

Key activities:

Design and implementation of end-to-end automation workflows.

API integration with internal and external systems.

Deployment and monitoring of cloud-based solutions (preferably AWS and Elastic, ).

Active participation in agile ceremonies and continuous improvement of reusable components.

Programming Languages: Python (intermediate–advanced), JavaScript/TypeScript (intermediate), and scripting in Bash or PowerShell for automation tasks.

Automation: Experience with automation platforms such as Power Automate, Automation Anywhere, or internal orchestration frameworks for workflow development and process automation.

AI/ML: Basic knowledge of integrating NLP, LLMs, or predictive models through APIs and SDKs (AWS AI Services, OpenAI, etc.).

APIs & Integrations: Design and consumption of RESTful APIs; experience with JSON, and authentication mechanisms (OAuth2, JWT).

Cloud & DevOps:

Hands-on experience with AWS services (Lambda, EC2, S3, CloudWatch, API Gateway, ECS/EKS, SNS, SQS, Eventbridge).

Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.

CI/CD implementation with GitHub Actions or AWS CodePipeline.

Containerization with Docker and orchestration using AWS ECS Services.

Source control and collaboration via Git and branches strategies

Monitoring & Observability: Familiarity with CloudWatch,  Elastic for system health and performance tracking.

Methodologies: Agile practices (Scrum, Kanban), experience working in cross-functional and fast-paced environments focused on continuous delivery and improvement.

Soft Skills:

Cross-Functional Collaboration: Able to work effectively with both technical and non-technical stakeholders — including business process teams — to understand needs, translate them into technical requirements, and co-create effective automation solutions.

Requirements Gathering: Skilled in applying requirements elicitation and validation techniques (interviews, workshops, user stories, process mapping) to ensure alignment between business goals and technical design.

Communication & Feedback: Strong communication skills, open to feedback, and focused on building a collaborative team culture where ideas are shared and improved collectively.

Maturity & Professional Mindset: Demonstrates sound judgment and professional maturity; understands when to follow established frameworks instead of reinventing the wheel.

Adaptability & Resilience: Views change as a challenge and opportunity rather than a blocker, maintaining a proactive and flexible attitude in dynamic environments.

Value-Oriented Execution: Focused on delivering business value through MVPs, favoring practical, maintainable, and scalable solutions over overly complex designs.

Continuous Improvement: Committed to iteration and rapid evolution, keeping a short feedback loop to enhance solutions efficiently.

Agile Mindset: Embraces agile principles — collaboration, transparency, and continuous delivery — ensuring alignment between strategy and execution.

Perks

Competitive salary & compensation package

Long term assignment hired directly by GBM

Training & growth approach for your career

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