About DigitalT3

At DigitalT3, we design and deploy AI-powered solutions that transform how enterprises operate. We are not just implementing AI tools — we are building intelligent systems from the core.

We are actively developing next-generation AI capabilities while helping global clients accelerate innovation. Our teams across the U.S., Mexico, and India collaborate to solve complex technical challenges with speed, precision, and impact.

If you’re driven by ownership, technical excellence, and building meaningful technology, DigitalT3 is where you can do your best work.

Role Overview:

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

Location: Remote – Mexico only

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

Key Responsibilities:

• Work directly with enterprise customers in a client-facing capacity to understand technical and business requirements.
• Design, build, and deploy backend services and APIs using Node.js (primary) and Python where applicable.
• Own and contribute to infrastructure and deployment workflows using CI/CD pipelines and Infrastructure as Code (Terraform).
• Collaborate closely with Product, Engineering, and Customer Success teams to influence product direction.
• Own technical implementations end-to-end, from discovery and design to deployment and iteration.
• Act as a trusted technical advisor for customers, helping them adopt and scale solutions successfully.
• Debug, optimize, and extend existing systems in production environments.
• Provide technical leadership during customer engagements, including best practices, architecture guidance, and trade-off discussions.
• Document solutions, architectures, and learnings to support internal knowledge sharing

Qualifications:

• 8+ years of professional software engineering experience.
• Strong backend experience in Node.js (primary language), with additional experience in languages ​​such as Python, JavaScript/TypeScript, Java, or Go.
• Hands-on experience with DevOps practices including CI/CD pipelines, Terraform, and production deployments.
• Experience working in customer-facing or client-facing technical roles.
• Solid understanding of system design, APIs, and distributed systems fundamentals.
• Ability to quickly understand complex systems and adapt solutions to different environments.
• Strong communication skills and comfort working directly with enterprise stakeholders.
• Ownership mindset with the ability to lead technical initiatives independently.

Nice to Have:

• Experience deploying solutions in enterprise or regulated environments.
• Background in cloud platforms (AWS, Azure, or GCP).
• Experience with Docker and containerization.
• Familiarity with Kubernetes (K8s).
• Strong Linux/Unix experience.
• Experience with AWS services such as Amazon Bedrock.
• Exposure to AI, GenAI, or data-driven systems.
• Previous experience influencing product roadmaps based on customer feedback.
• Comfort working in fast-paced, ambiguous environments

What Success Looks Like:

A successful FDE 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: Architectural influence and hands-on execution
• Global Collaboration: U.S., Mexico, India
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment