Contract Type: Full-Time Contract (Mexico-based, long-term engagement)

Location: Remote – Mexico only (preferred: Jalisco, Aguascalientes, Colima, Nayarit, Michoacán, Guanajuato)

This is a remote role; However, candidates should be open to travel for team meetups or client visits, as required.

Eligibility: Must have valid work authorization in Mexico (Mexican citizen or authorized to work in Mexico without sponsorship).

Role Overview:

Designs, builds, and maintains scalable cloud infrastructure using IaC and automates CI/CD pipelines. Lead incident management, optimize system performance & ensure security compliance. This is an engineering-first role — you will be close to the code, the infrastructure, and the decisions that shape how we build and operate at scale. 

Core Responsibilities 

• Infrastructure as Code (IaC): Design and manage infrastructure as code  
• CI/CD Pipeline Development: Create and maintain robust, scalable CI/CD pipelines to ensure rapid, reliable code deployment. 
• Cloud Management: Deploy and manage cloud-based production systems focusing on performance, scalability, and security. 
• Containerization & Orchestration: Manage container-based deployments utilizing Docker and Kubernetes. 
• Monitoring & Incident Response: Monitor system health using and lead on-call incident resolution. 
• Security & Compliance: Integrate security best practices (DevSecOps) at the infrastructure level 
• Teaming & Collaboration: Mentor DevOps engineers & cloud teams, collaborate closely with application, data, security, and infrastructure teams. Contribute to technical roadmaps, architecture standards, and internal documentation. 

Experience (Must Have) 

• 7+ years of overall IT experience, with 5+ years in DevOps or cloud-native engineering roles. 
• Proven track record designing and operating enterprise-scale, production-ready cloud platforms. 
• Experience integrating automation across CI/CD, infrastructure provisioning, and operational workflows. 

Technical Skills (Must Have & Recent Experience) 

• Cloud: AWS — compute, networking, storage, IAM, and security services. 
• Containers: Kubernetes – EKS 
• IaC: Terraform at enterprise scale; policy enforcement and drift management. 
• Configuration Management: Ansible or similar  
• CI/CD: GitHub Actions. 
• Observability: Grafana, Prometheus or similar tools  
• Programming: Python/ Node.js for automation, integration, and AI-assisted tooling.  
• Security: Cloud IAM design, RBAC and policy-as-code. 

Soft Skills 

• Self-motivated, outcome-focused, and passionate about automation and continuous improvement. 
• Strong design thinking and structured problem-solving approach. 
• Clear, confident communication with both technical peers & non-technical stakeholders. 
• Ability to influence technical direction and drive alignment across teams. 

Nice to have 

• Background working in multi-cloud or hybrid cloud environments. 
• AI Exposure: Practical experience using GitHub Copilot, Claude, or equivalent AI-assisted tools in infrastructure design, incident analysis, or documentation workflows.  

At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams. 

At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth. 

What Success Looks Like:

A successful SSE delivers high-impact solutions that meet customer needs while maintaining engineering excellence. They build strong customer trust, take ownership of outcomes, and help bridge the gap between real-world customer problems and scalable product solutions.

Benefits:

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Own solutions from Design, to Adoption
• Global Collaboration: U.S., Mexico, India, Sri Lanka
• Remote-First Culture with flexible work arrangements and in person meet-ups
• Career Growth Opportunities in a fast-evolving AI environment