**Job Title**: Cloud Data & AI Engineer
**Location**: Mexico City, Mexico (Hybrid)
**Job Type**: Full time
**Job Summary**
**Key Responsibilities**
- Design, build, and deploy scalable **Machine Learning** and **Generative AI** solutions across multi-cloud environments (AWS, GCP, Azure).
- Lead cross-functional teams in the development and execution of **cloud-based data and AI strategies**.
- Architect and implement **resilient, secure, and scalable systems** with a focus on observability, automation, and compliance.
- Champion best practices in **DevOps, Site Reliability Engineering (SRE)**, and **Infrastructure as Code (IaC)**.
- Develop and enforce **security protocols**, governance policies, and compliance standards for AI and data workloads.
- Drive **automation initiatives** using tools such as **Terraform**, **Ansible**, and **Packer** to support CI/CD and immutable infrastructure.
- Implement **Chaos Engineering** methodologies to validate and enhance system resilience.
- Create, manage, and optimize **Jenkins pipelines** for continuous integration and delivery.
- Build and maintain robust **monitoring and observability frameworks** using tools like **Splunk**, **AppDynamics**, and custom telemetry solutions.
- Design and lead **on-premise to cloud migration projects**, ensuring mínimal disruption and adherence to industry best practices.
- Manage and integrate with a variety of technologies, including containers (e.g., Docker), APIs, middleware, databases, networks, and storage systems.




**Required Qualifications**
- Bachelor’s degree in **Computer Science**, **Systems Engineering**, or a related field.
- 5+ years of experience in **cloud engineering**, **machine learning**, and **AI development**.
- Proven expertise with **AWS**, **GCP**, and **Azure** platforms.
- Strong foundation in **observability**, **system architecture**, **security**, and **DevOps/SRE** practices.
**Hands-on experience with**:
- **Terraform**, **Ansible**, **Packer**
- **CI/CD pipelines** (e.g., Jenkins)
- **Monitoring and logging tools** (e.g., Splunk, AppDynamics)
- **Containers** and **API-first design**
- In-depth understanding of AI governance, ethical AI practices, bias mitigation, and regulatory compliance.
- Experience with **Design Thinking** in technology solutioning.
- Strong leadership skills with a track record of leading **cloud and AI transformation initiatives**.
- Excellent verbal and written communication skills in English.
**Preferred Qualifications**
- Master’s degree or certification in cloud platforms or AI/ML (e.g., AWS Certified Machine Learning, GCP Professional Data Engineer).
- Experience working in **regulated industries** (e.g., healthcare, finance).
- Familiarity with **Security as Code**, **Pipeline as Code**, and **Configuration as Code** approaches.
- Demonstrated ability to drive innovation through **GenAI** use cases and enterprise-grade AI deployments.
Pay: $70,000.00 - $80,000.00 per month
Work Location: In person

📌 Cloud Data & Ai Engineer (Venustiano Carranza)
🏢 Gennte Technologies
📍 Venustiano Carranza